Skyler Miao is a forward-thinking engineering leader spearheading cutting-edge AI projects like MiniMax M2 and MiniMax Agent. Constantly pushing technological boundaries, Skyler blends technical mastery with a clear vision for accessible, high-performance AI tools. Their Twitter presence is a hub for AI enthusiasts craving innovation updates and hands-on demos.
Skyler is so deep into building AI models that sometimes you wonder if they’re coding an app or literally trying to upload their brain to the cloud—maybe don’t forget to grab lunch before your next major release!
Skyler’s biggest win to date is successfully launching MiniMax M2 as an open-source AI model that not only ranks in the top 5 globally but also fosters community adoption with seamless integration options and practical demos.
To revolutionize AI technology by developing highly efficient, user-friendly AI models and tools that empower developers and organizations to build smarter applications with ease.
Skyler believes in open collaboration, continuous improvement, and democratizing AI technology to ensure powerful tools are accessible to all. They value transparency, community feedback, and quality in engineering to drive rapid innovation without compromising user experience.
Skyler’s strengths lie in visionary technical leadership, open-source advocacy, and the ability to communicate complex AI advancements clearly and engagingly to a broad audience. They excel at creating sophisticated yet extensible products that attract and empower developers.
A potential weakness is balancing rapid innovation with managing resources and user experience—signs of growing pains as Skyler’s projects scale rapidly. Additionally, engaging a wider audience beyond niche AI developers could further amplify impact.
To boost their follower growth on X, Skyler should mix technical deep-dives with more casual, behind-the-scenes content and community interactions. Hosting AMAs, sharing user success stories, and spotlighting collaborators can enhance engagement beyond technical circles and build a loyal, diverse community.
Fun fact: Skyler’s MiniMax M2 model ranks in the global Top 5 AI models, surpassing some well-known competitors like Claude Opus 4.1—talk about playing in the big leagues!
Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!
The lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.
Over the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.
We've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.
Big thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.
We are actively working with more coding tool partners to support this protocol.
We hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.
The docs and code examples are here:
MiniMax Platform: https://t.co/io6LhDCRLD
OpenRouter: https://t.co/XDRppKAyZy
Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!
The lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.
Over the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.
We've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.
Big thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.
We are actively working with more coding tool partners to support this protocol.
We hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.
The docs and code examples are here:
MiniMax Platform: https://t.co/io6LhDCRLD
OpenRouter: https://t.co/XDRppKAyZy
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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,97],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987462229026058682","quoted_status_permalink":{"url":"https://t.co/ixfxEhzFvS","expanded":"https://twitter.com/thetripathi58/status/1987462229026058682","display":"x.com/thetripathi58/…"},"retweeted":false,"fact_check":null,"id":"1987466227695198602","view_count":36363,"bookmark_count":68,"created_at":1762683848000,"favorite_count":391,"quote_count":1,"reply_count":9,"retweet_count":13,"user_id_str":"1879314108723658752","conversation_id_str":"1987466227695198602","full_text":"Community feedback like yours is what keeps us motivated to build even better open-source models!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1982989507252367687","view_count":99938,"bookmark_count":168,"created_at":1761616515000,"favorite_count":379,"quote_count":11,"reply_count":16,"retweet_count":18,"user_id_str":"1879314108723658752","conversation_id_str":"1982989507252367687","full_text":"Hey guys, thank you all for your love and passion for M2. Lot asking why we recommend Anthropic API. I think need to explain a little bit.\nM2 is a agentic thinking model, it do interleaved thinking like sonnet 4.5, which means every response will contain its thought content.\nIts very important for M2 to keep the chain of thought. So we must make sure the history thought passed back to the model.\nAnthropic API support it for sure, as sonnet needs it as well.\nOpenAI only support it in their new Response API, no support for in ChatCompletion. That's why GPT5 has best performance only under Response API.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! 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API at 8–10% of Claude Sonnet’s cost. 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We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,282],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"github.com/MiniMax-AI/Min…","expanded_url":"https://github.com/MiniMax-AI/Mini-Agent","url":"https://t.co/kVrlgiE51G","indices":[421,444]}],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1988107046928196017","view_count":39528,"bookmark_count":460,"created_at":1762836631000,"favorite_count":614,"quote_count":1,"reply_count":15,"retweet_count":76,"user_id_str":"1879314108723658752","conversation_id_str":"1988107046928196017","full_text":"As we mentioned before, happy to introduce Mini Agent, a simple yet powerful CLI demo built with MiniMax M2.\n💡 Simple: 14 Python files, 3.3K lines, clean & extensible.\n⚙️ Powerful: beautiful CLI, native file/bash tools, auto compaction, MCP integration, and Claude Skill support — fully enabling interleaved thinking to unlock M2’s full potential.\n\nHope it helps you build your own agent, CLI, or anything powered by M2!\nhttps://t.co/kVrlgiE51G","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,155],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/qu…","expanded_url":"https://platform.minimax.io/docs/guides/quickstart","url":"https://t.co/eJTlj3m0Hw","indices":[132,155]}],"user_mentions":[]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1982034850652848335","view_count":8510,"bookmark_count":59,"created_at":1761388907000,"favorite_count":122,"quote_count":1,"reply_count":9,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1982034850652848335","full_text":"Hi, guys, we have double TPM/RPM limit on minimax platform for all free uses. 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We find openrouter splited the <think> out of the content, which break the chain of thought of the model, leading to significant toolcall failing and performance descreasing for M2.\nWe are communicating with them. Again we recommend using official platform API endpoint, including OpenAI and Anthropic style. 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Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. 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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":"2588345408","in_reply_to_status_id_str":"1984595329971318856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-04","value":11,"startTime":1762128000000,"endTime":1762214400000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1984920807710339399","quoted_status_permalink":{"url":"https://t.co/2QVrqwsymR","expanded":"https://twitter.com/bookwormengr/status/1984920807710339399","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1985154307382223034","view_count":12230,"bookmark_count":66,"created_at":1762132643000,"favorite_count":98,"quote_count":4,"reply_count":8,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1985154307382223034","full_text":"That's right, to explain interleaved thinking more straightforward, I made a comparison html with M2! It visualizes the difference between regular thinking, interleaved thinking but reasoning not passed pack, and full interleaved thinking. We will post a tech blog with specific benchmark with/without reasoning passed back","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"lt","quoted_status_id_str":"1985212042643669159","quoted_status_permalink":{"url":"https://t.co/2ToX4z8PRf","expanded":"https://twitter.com/elonmusk/status/1985212042643669159","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1985260443389337875","view_count":338,"bookmark_count":2,"created_at":1762157948000,"favorite_count":14,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985260443389337875","full_text":"MiniMax at #3💪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":10,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"display_text_range":[0,118],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985404566469558285","quoted_status_permalink":{"url":"https://t.co/qPZkNXsII4","expanded":"https://twitter.com/arafatkatze/status/1985404566469558285","display":"x.com/arafatkatze/st…"},"retweeted":false,"fact_check":null,"id":"1985515856668082424","view_count":122,"bookmark_count":1,"created_at":1762218843000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985515856668082424","full_text":"Thanks for your great PR supporting interleaved thinking on Cline. Hope it could be available for all Cline user soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985375617622454566","quoted_status_permalink":{"url":"https://t.co/d73w8ZDQDX","expanded":"https://twitter.com/MiniMax__AI/status/1985375617622454566","display":"x.com/MiniMax__AI/st…"},"retweeted":false,"fact_check":null,"id":"1985513551747072089","view_count":5365,"bookmark_count":14,"created_at":1762218294000,"favorite_count":66,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985513551747072089","full_text":"Our tech blog about interleaved thinking on M2, with specific benchmark comparison, hope you all like it!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985421068006523025","quoted_status_permalink":{"url":"https://t.co/90vlcqeoNG","expanded":"https://twitter.com/cb_doge/status/1985421068006523025","display":"x.com/cb_doge/status…"},"retweeted":false,"fact_check":null,"id":"1985698668343885940","view_count":3497,"bookmark_count":2,"created_at":1762262429000,"favorite_count":67,"quote_count":0,"reply_count":4,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1985698668343885940","full_text":"MiniMax-M2 the #2","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985707822030733593","view_count":5451,"bookmark_count":9,"created_at":1762264612000,"favorite_count":102,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985707822030733593","full_text":"Feeling the community power again.\nWe’ve just shipped a hotfix for our official Anthropic endpoint, fixing a bug that caused M2 to ignore new instructions when interrupted in Claude Code.\nWe thought it was an instruction following problem, until developer `laishere` submitted a perfect GitHub issue, pointing out the exact flaw and even sharing the fix.\nEarlier, developer `beingS` helped us resolve another endpoint bug that broke context compaction in Claude Code.\nThe hotfix is live now. As a startup, this community support is everything.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-06","value":2,"startTime":1762300800000,"endTime":1762387200000,"tweets":[{"bookmarked":false,"display_text_range":[0,255],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[235,241]},{"id_str":"2896449589","name":"Ara","screen_name":"arafatkatze","indices":[243,255]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984349479785677195","quoted_status_permalink":{"url":"https://t.co/QuyUP5B66g","expanded":"https://twitter.com/cline/status/1984349479785677195","display":"x.com/cline/status/1…"},"retweeted":false,"fact_check":null,"id":"1986078603973661163","view_count":5562,"bookmark_count":20,"created_at":1762353013000,"favorite_count":87,"quote_count":2,"reply_count":2,"retweet_count":6,"user_id_str":"1879314108723658752","conversation_id_str":"1986078603973661163","full_text":"Cline now supports interleaved thinking and native tool calling for MiniMax M2, unlocking its full potential.\nHuge thanks to the Cline team for your incredible professionalism and lightning-fast work on the recent PRs. You guys rock! @cline @arafatkatze","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-07","value":18,"startTime":1762387200000,"endTime":1762473600000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,156],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1341331548566654977","name":"0xSero","screen_name":"0x_Sero","indices":[148,156]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1985061158080987283","quoted_status_permalink":{"url":"https://t.co/AeWgopQm4b","expanded":"https://twitter.com/0x_Sero/status/1985061158080987283","display":"x.com/0x_Sero/status…"},"retweeted":false,"fact_check":null,"id":"1986250128353853542","view_count":4632,"bookmark_count":13,"created_at":1762393907000,"favorite_count":45,"quote_count":0,"reply_count":2,"retweet_count":4,"user_id_str":"1879314108723658752","conversation_id_str":"1986250128353853542","full_text":"The community is just incredible! A great open sourced proxy to support serving M2 with Anthropic and Open compatible API. Excellent job, thank you @0x_Sero","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-08","value":42,"startTime":1762473600000,"endTime":1762560000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1986449512538513505","quoted_status_permalink":{"url":"https://t.co/ZeM2ATBGHY","expanded":"https://twitter.com/Kimi_Moonshot/status/1986449512538513505","display":"x.com/Kimi_Moonshot/…"},"retweeted":false,"fact_check":null,"id":"1986630221030957438","view_count":9176,"bookmark_count":8,"created_at":1762484529000,"favorite_count":133,"quote_count":2,"reply_count":6,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1986630221030957438","full_text":"Congrats! 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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":"2588345408","in_reply_to_status_id_str":"1984595329971318856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-04","value":68,"startTime":1762128000000,"endTime":1762214400000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1984920807710339399","quoted_status_permalink":{"url":"https://t.co/2QVrqwsymR","expanded":"https://twitter.com/bookwormengr/status/1984920807710339399","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1985154307382223034","view_count":12230,"bookmark_count":66,"created_at":1762132643000,"favorite_count":98,"quote_count":4,"reply_count":8,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1985154307382223034","full_text":"That's right, to explain interleaved thinking more straightforward, I made a comparison html with M2! It visualizes the difference between regular thinking, interleaved thinking but reasoning not passed pack, and full interleaved thinking. We will post a tech blog with specific benchmark with/without reasoning passed back","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"lt","quoted_status_id_str":"1985212042643669159","quoted_status_permalink":{"url":"https://t.co/2ToX4z8PRf","expanded":"https://twitter.com/elonmusk/status/1985212042643669159","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1985260443389337875","view_count":338,"bookmark_count":2,"created_at":1762157948000,"favorite_count":14,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985260443389337875","full_text":"MiniMax at #3💪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":26,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"display_text_range":[0,118],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985404566469558285","quoted_status_permalink":{"url":"https://t.co/qPZkNXsII4","expanded":"https://twitter.com/arafatkatze/status/1985404566469558285","display":"x.com/arafatkatze/st…"},"retweeted":false,"fact_check":null,"id":"1985515856668082424","view_count":122,"bookmark_count":1,"created_at":1762218843000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985515856668082424","full_text":"Thanks for your great PR supporting interleaved thinking on Cline. Hope it could be available for all Cline user soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985375617622454566","quoted_status_permalink":{"url":"https://t.co/d73w8ZDQDX","expanded":"https://twitter.com/MiniMax__AI/status/1985375617622454566","display":"x.com/MiniMax__AI/st…"},"retweeted":false,"fact_check":null,"id":"1985513551747072089","view_count":5365,"bookmark_count":14,"created_at":1762218294000,"favorite_count":66,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985513551747072089","full_text":"Our tech blog about interleaved thinking on M2, with specific benchmark comparison, hope you all like it!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985421068006523025","quoted_status_permalink":{"url":"https://t.co/90vlcqeoNG","expanded":"https://twitter.com/cb_doge/status/1985421068006523025","display":"x.com/cb_doge/status…"},"retweeted":false,"fact_check":null,"id":"1985698668343885940","view_count":3497,"bookmark_count":2,"created_at":1762262429000,"favorite_count":67,"quote_count":0,"reply_count":4,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1985698668343885940","full_text":"MiniMax-M2 the #2","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985707822030733593","view_count":5451,"bookmark_count":9,"created_at":1762264612000,"favorite_count":102,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985707822030733593","full_text":"Feeling the community power again.\nWe’ve just shipped a hotfix for our official Anthropic endpoint, fixing a bug that caused M2 to ignore new instructions when interrupted in Claude Code.\nWe thought it was an instruction following problem, until developer `laishere` submitted a perfect GitHub issue, pointing out the exact flaw and even sharing the fix.\nEarlier, developer `beingS` helped us resolve another endpoint bug that broke context compaction in Claude Code.\nThe hotfix is live now. As a startup, this community support is everything.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-06","value":20,"startTime":1762300800000,"endTime":1762387200000,"tweets":[{"bookmarked":false,"display_text_range":[0,255],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[235,241]},{"id_str":"2896449589","name":"Ara","screen_name":"arafatkatze","indices":[243,255]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984349479785677195","quoted_status_permalink":{"url":"https://t.co/QuyUP5B66g","expanded":"https://twitter.com/cline/status/1984349479785677195","display":"x.com/cline/status/1…"},"retweeted":false,"fact_check":null,"id":"1986078603973661163","view_count":5562,"bookmark_count":20,"created_at":1762353013000,"favorite_count":87,"quote_count":2,"reply_count":2,"retweet_count":6,"user_id_str":"1879314108723658752","conversation_id_str":"1986078603973661163","full_text":"Cline now supports interleaved thinking and native tool calling for MiniMax M2, unlocking its full potential.\nHuge thanks to the Cline team for your incredible professionalism and lightning-fast work on the recent PRs. You guys rock! @cline @arafatkatze","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-07","value":115,"startTime":1762387200000,"endTime":1762473600000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,156],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1341331548566654977","name":"0xSero","screen_name":"0x_Sero","indices":[148,156]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1985061158080987283","quoted_status_permalink":{"url":"https://t.co/AeWgopQm4b","expanded":"https://twitter.com/0x_Sero/status/1985061158080987283","display":"x.com/0x_Sero/status…"},"retweeted":false,"fact_check":null,"id":"1986250128353853542","view_count":4632,"bookmark_count":13,"created_at":1762393907000,"favorite_count":45,"quote_count":0,"reply_count":2,"retweet_count":4,"user_id_str":"1879314108723658752","conversation_id_str":"1986250128353853542","full_text":"The community is just incredible! A great open sourced proxy to support serving M2 with Anthropic and Open compatible API. Excellent job, thank you @0x_Sero","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-08","value":123,"startTime":1762473600000,"endTime":1762560000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1986449512538513505","quoted_status_permalink":{"url":"https://t.co/ZeM2ATBGHY","expanded":"https://twitter.com/Kimi_Moonshot/status/1986449512538513505","display":"x.com/Kimi_Moonshot/…"},"retweeted":false,"fact_check":null,"id":"1986630221030957438","view_count":9176,"bookmark_count":8,"created_at":1762484529000,"favorite_count":133,"quote_count":2,"reply_count":6,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1986630221030957438","full_text":"Congrats! 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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":"2588345408","in_reply_to_status_id_str":"1984595329971318856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-04","value":7,"startTime":1762128000000,"endTime":1762214400000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1984920807710339399","quoted_status_permalink":{"url":"https://t.co/2QVrqwsymR","expanded":"https://twitter.com/bookwormengr/status/1984920807710339399","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1985154307382223034","view_count":12230,"bookmark_count":66,"created_at":1762132643000,"favorite_count":98,"quote_count":4,"reply_count":8,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1985154307382223034","full_text":"That's right, to explain interleaved thinking more straightforward, I made a comparison html with M2! It visualizes the difference between regular thinking, interleaved thinking but reasoning not passed pack, and full interleaved thinking. We will post a tech blog with specific benchmark with/without reasoning passed back","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"lt","quoted_status_id_str":"1985212042643669159","quoted_status_permalink":{"url":"https://t.co/2ToX4z8PRf","expanded":"https://twitter.com/elonmusk/status/1985212042643669159","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1985260443389337875","view_count":338,"bookmark_count":2,"created_at":1762157948000,"favorite_count":14,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985260443389337875","full_text":"MiniMax at #3💪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":13,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"display_text_range":[0,118],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985404566469558285","quoted_status_permalink":{"url":"https://t.co/qPZkNXsII4","expanded":"https://twitter.com/arafatkatze/status/1985404566469558285","display":"x.com/arafatkatze/st…"},"retweeted":false,"fact_check":null,"id":"1985515856668082424","view_count":122,"bookmark_count":1,"created_at":1762218843000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985515856668082424","full_text":"Thanks for your great PR supporting interleaved thinking on Cline. Hope it could be available for all Cline user soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985375617622454566","quoted_status_permalink":{"url":"https://t.co/d73w8ZDQDX","expanded":"https://twitter.com/MiniMax__AI/status/1985375617622454566","display":"x.com/MiniMax__AI/st…"},"retweeted":false,"fact_check":null,"id":"1985513551747072089","view_count":5365,"bookmark_count":14,"created_at":1762218294000,"favorite_count":66,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985513551747072089","full_text":"Our tech blog about interleaved thinking on M2, with specific benchmark comparison, hope you all like it!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985421068006523025","quoted_status_permalink":{"url":"https://t.co/90vlcqeoNG","expanded":"https://twitter.com/cb_doge/status/1985421068006523025","display":"x.com/cb_doge/status…"},"retweeted":false,"fact_check":null,"id":"1985698668343885940","view_count":3497,"bookmark_count":2,"created_at":1762262429000,"favorite_count":67,"quote_count":0,"reply_count":4,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1985698668343885940","full_text":"MiniMax-M2 the #2","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985707822030733593","view_count":5451,"bookmark_count":9,"created_at":1762264612000,"favorite_count":102,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985707822030733593","full_text":"Feeling the community power again.\nWe’ve just shipped a hotfix for our official Anthropic endpoint, fixing a bug that caused M2 to ignore new instructions when interrupted in Claude Code.\nWe thought it was an instruction following problem, until developer `laishere` submitted a perfect GitHub issue, pointing out the exact flaw and even sharing the fix.\nEarlier, developer `beingS` helped us resolve another endpoint bug that broke context compaction in Claude Code.\nThe hotfix is live now. As a startup, this community support is everything.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-06","value":6,"startTime":1762300800000,"endTime":1762387200000,"tweets":[{"bookmarked":false,"display_text_range":[0,255],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[235,241]},{"id_str":"2896449589","name":"Ara","screen_name":"arafatkatze","indices":[243,255]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984349479785677195","quoted_status_permalink":{"url":"https://t.co/QuyUP5B66g","expanded":"https://twitter.com/cline/status/1984349479785677195","display":"x.com/cline/status/1…"},"retweeted":false,"fact_check":null,"id":"1986078603973661163","view_count":5562,"bookmark_count":20,"created_at":1762353013000,"favorite_count":87,"quote_count":2,"reply_count":2,"retweet_count":6,"user_id_str":"1879314108723658752","conversation_id_str":"1986078603973661163","full_text":"Cline now supports interleaved thinking and native tool calling for MiniMax M2, unlocking its full potential.\nHuge thanks to the Cline team for your incredible professionalism and lightning-fast work on the recent PRs. You guys rock! @cline @arafatkatze","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-07","value":26,"startTime":1762387200000,"endTime":1762473600000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,156],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1341331548566654977","name":"0xSero","screen_name":"0x_Sero","indices":[148,156]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1985061158080987283","quoted_status_permalink":{"url":"https://t.co/AeWgopQm4b","expanded":"https://twitter.com/0x_Sero/status/1985061158080987283","display":"x.com/0x_Sero/status…"},"retweeted":false,"fact_check":null,"id":"1986250128353853542","view_count":4632,"bookmark_count":13,"created_at":1762393907000,"favorite_count":45,"quote_count":0,"reply_count":2,"retweet_count":4,"user_id_str":"1879314108723658752","conversation_id_str":"1986250128353853542","full_text":"The community is just incredible! A great open sourced proxy to support serving M2 with Anthropic and Open compatible API. Excellent job, thank you @0x_Sero","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-08","value":33,"startTime":1762473600000,"endTime":1762560000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1986449512538513505","quoted_status_permalink":{"url":"https://t.co/ZeM2ATBGHY","expanded":"https://twitter.com/Kimi_Moonshot/status/1986449512538513505","display":"x.com/Kimi_Moonshot/…"},"retweeted":false,"fact_check":null,"id":"1986630221030957438","view_count":9176,"bookmark_count":8,"created_at":1762484529000,"favorite_count":133,"quote_count":2,"reply_count":6,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1986630221030957438","full_text":"Congrats! 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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":"2588345408","in_reply_to_status_id_str":"1984595329971318856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-04","value":112,"startTime":1762128000000,"endTime":1762214400000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1984920807710339399","quoted_status_permalink":{"url":"https://t.co/2QVrqwsymR","expanded":"https://twitter.com/bookwormengr/status/1984920807710339399","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1985154307382223034","view_count":12230,"bookmark_count":66,"created_at":1762132643000,"favorite_count":98,"quote_count":4,"reply_count":8,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1985154307382223034","full_text":"That's right, to explain interleaved thinking more straightforward, I made a comparison html with M2! It visualizes the difference between regular thinking, interleaved thinking but reasoning not passed pack, and full interleaved thinking. We will post a tech blog with specific benchmark with/without reasoning passed back","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"lt","quoted_status_id_str":"1985212042643669159","quoted_status_permalink":{"url":"https://t.co/2ToX4z8PRf","expanded":"https://twitter.com/elonmusk/status/1985212042643669159","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1985260443389337875","view_count":338,"bookmark_count":2,"created_at":1762157948000,"favorite_count":14,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985260443389337875","full_text":"MiniMax at #3💪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":236,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"display_text_range":[0,118],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985404566469558285","quoted_status_permalink":{"url":"https://t.co/qPZkNXsII4","expanded":"https://twitter.com/arafatkatze/status/1985404566469558285","display":"x.com/arafatkatze/st…"},"retweeted":false,"fact_check":null,"id":"1985515856668082424","view_count":122,"bookmark_count":1,"created_at":1762218843000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985515856668082424","full_text":"Thanks for your great PR supporting interleaved thinking on Cline. Hope it could be available for all Cline user soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985375617622454566","quoted_status_permalink":{"url":"https://t.co/d73w8ZDQDX","expanded":"https://twitter.com/MiniMax__AI/status/1985375617622454566","display":"x.com/MiniMax__AI/st…"},"retweeted":false,"fact_check":null,"id":"1985513551747072089","view_count":5365,"bookmark_count":14,"created_at":1762218294000,"favorite_count":66,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985513551747072089","full_text":"Our tech blog about interleaved thinking on M2, with specific benchmark comparison, hope you all like it!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985421068006523025","quoted_status_permalink":{"url":"https://t.co/90vlcqeoNG","expanded":"https://twitter.com/cb_doge/status/1985421068006523025","display":"x.com/cb_doge/status…"},"retweeted":false,"fact_check":null,"id":"1985698668343885940","view_count":3497,"bookmark_count":2,"created_at":1762262429000,"favorite_count":67,"quote_count":0,"reply_count":4,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1985698668343885940","full_text":"MiniMax-M2 the #2","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985707822030733593","view_count":5451,"bookmark_count":9,"created_at":1762264612000,"favorite_count":102,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985707822030733593","full_text":"Feeling the community power again.\nWe’ve just shipped a hotfix for our official Anthropic endpoint, fixing a bug that caused M2 to ignore new instructions when interrupted in Claude Code.\nWe thought it was an instruction following problem, until developer `laishere` submitted a perfect GitHub issue, pointing out the exact flaw and even sharing the fix.\nEarlier, developer `beingS` helped us resolve another endpoint bug that broke context compaction in Claude Code.\nThe hotfix is live now. As a startup, this community support is everything.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-06","value":87,"startTime":1762300800000,"endTime":1762387200000,"tweets":[{"bookmarked":false,"display_text_range":[0,255],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[235,241]},{"id_str":"2896449589","name":"Ara","screen_name":"arafatkatze","indices":[243,255]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984349479785677195","quoted_status_permalink":{"url":"https://t.co/QuyUP5B66g","expanded":"https://twitter.com/cline/status/1984349479785677195","display":"x.com/cline/status/1…"},"retweeted":false,"fact_check":null,"id":"1986078603973661163","view_count":5562,"bookmark_count":20,"created_at":1762353013000,"favorite_count":87,"quote_count":2,"reply_count":2,"retweet_count":6,"user_id_str":"1879314108723658752","conversation_id_str":"1986078603973661163","full_text":"Cline now supports interleaved thinking and native tool calling for MiniMax M2, unlocking its full potential.\nHuge thanks to the Cline team for your incredible professionalism and lightning-fast work on the recent PRs. You guys rock! @cline @arafatkatze","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-07","value":346,"startTime":1762387200000,"endTime":1762473600000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,156],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1341331548566654977","name":"0xSero","screen_name":"0x_Sero","indices":[148,156]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1985061158080987283","quoted_status_permalink":{"url":"https://t.co/AeWgopQm4b","expanded":"https://twitter.com/0x_Sero/status/1985061158080987283","display":"x.com/0x_Sero/status…"},"retweeted":false,"fact_check":null,"id":"1986250128353853542","view_count":4632,"bookmark_count":13,"created_at":1762393907000,"favorite_count":45,"quote_count":0,"reply_count":2,"retweet_count":4,"user_id_str":"1879314108723658752","conversation_id_str":"1986250128353853542","full_text":"The community is just incredible! A great open sourced proxy to support serving M2 with Anthropic and Open compatible API. Excellent job, thank you @0x_Sero","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-08","value":668,"startTime":1762473600000,"endTime":1762560000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1986449512538513505","quoted_status_permalink":{"url":"https://t.co/ZeM2ATBGHY","expanded":"https://twitter.com/Kimi_Moonshot/status/1986449512538513505","display":"x.com/Kimi_Moonshot/…"},"retweeted":false,"fact_check":null,"id":"1986630221030957438","view_count":9176,"bookmark_count":8,"created_at":1762484529000,"favorite_count":133,"quote_count":2,"reply_count":6,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1986630221030957438","full_text":"Congrats! 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You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":"2588345408","in_reply_to_status_id_str":"1984595329971318856","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-04","value":12568,"startTime":1762128000000,"endTime":1762214400000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/a4Bbhwn4uZ","expanded_url":"https://x.com/SkylerMiao7/status/1985154307382223034/photo/1","id_str":"1985154301535404032","indices":[279,302],"media_key":"3_1985154301535404032","media_url_https":"https://pbs.twimg.com/media/G4yvUcdbQAARVsC.png","type":"photo","url":"https://t.co/a4Bbhwn4uZ","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1234,"w":1600,"resize":"fit"},"medium":{"h":926,"w":1200,"resize":"fit"},"small":{"h":524,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1234,"width":1600,"focus_rects":[{"x":0,"y":0,"w":1600,"h":896},{"x":62,"y":0,"w":1234,"h":1234},{"x":138,"y":0,"w":1082,"h":1234},{"x":371,"y":0,"w":617,"h":1234},{"x":0,"y":0,"w":1600,"h":1234}]},"media_results":{"result":{"media_key":"3_1985154301535404032"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"quoted_status_id_str":"1984920807710339399","quoted_status_permalink":{"url":"https://t.co/2QVrqwsymR","expanded":"https://twitter.com/bookwormengr/status/1984920807710339399","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1985154307382223034","view_count":12230,"bookmark_count":66,"created_at":1762132643000,"favorite_count":98,"quote_count":4,"reply_count":8,"retweet_count":7,"user_id_str":"1879314108723658752","conversation_id_str":"1985154307382223034","full_text":"That's right, to explain interleaved thinking more straightforward, I made a comparison html with M2! It visualizes the difference between regular thinking, interleaved thinking but reasoning not passed pack, and full interleaved thinking. We will post a tech blog with specific benchmark with/without reasoning passed back","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,14],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"lt","quoted_status_id_str":"1985212042643669159","quoted_status_permalink":{"url":"https://t.co/2ToX4z8PRf","expanded":"https://twitter.com/elonmusk/status/1985212042643669159","display":"x.com/elonmusk/statu…"},"retweeted":false,"fact_check":null,"id":"1985260443389337875","view_count":338,"bookmark_count":2,"created_at":1762157948000,"favorite_count":14,"quote_count":0,"reply_count":3,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985260443389337875","full_text":"MiniMax at #3💪","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-05","value":14435,"startTime":1762214400000,"endTime":1762300800000,"tweets":[{"bookmarked":false,"display_text_range":[0,118],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985404566469558285","quoted_status_permalink":{"url":"https://t.co/qPZkNXsII4","expanded":"https://twitter.com/arafatkatze/status/1985404566469558285","display":"x.com/arafatkatze/st…"},"retweeted":false,"fact_check":null,"id":"1985515856668082424","view_count":122,"bookmark_count":1,"created_at":1762218843000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1985515856668082424","full_text":"Thanks for your great PR supporting interleaved thinking on Cline. Hope it could be available for all Cline user soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,105],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985375617622454566","quoted_status_permalink":{"url":"https://t.co/d73w8ZDQDX","expanded":"https://twitter.com/MiniMax__AI/status/1985375617622454566","display":"x.com/MiniMax__AI/st…"},"retweeted":false,"fact_check":null,"id":"1985513551747072089","view_count":5365,"bookmark_count":14,"created_at":1762218294000,"favorite_count":66,"quote_count":0,"reply_count":1,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985513551747072089","full_text":"Our tech blog about interleaved thinking on M2, with specific benchmark comparison, hope you all like it!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,17],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1985421068006523025","quoted_status_permalink":{"url":"https://t.co/90vlcqeoNG","expanded":"https://twitter.com/cb_doge/status/1985421068006523025","display":"x.com/cb_doge/status…"},"retweeted":false,"fact_check":null,"id":"1985698668343885940","view_count":3497,"bookmark_count":2,"created_at":1762262429000,"favorite_count":67,"quote_count":0,"reply_count":4,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1985698668343885940","full_text":"MiniMax-M2 the #2","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1985707822030733593","view_count":5451,"bookmark_count":9,"created_at":1762264612000,"favorite_count":102,"quote_count":0,"reply_count":5,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1985707822030733593","full_text":"Feeling the community power again.\nWe’ve just shipped a hotfix for our official Anthropic endpoint, fixing a bug that caused M2 to ignore new instructions when interrupted in Claude Code.\nWe thought it was an instruction following problem, until developer `laishere` submitted a perfect GitHub issue, pointing out the exact flaw and even sharing the fix.\nEarlier, developer `beingS` helped us resolve another endpoint bug that broke context compaction in Claude Code.\nThe hotfix is live now. As a startup, this community support is everything.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-06","value":5562,"startTime":1762300800000,"endTime":1762387200000,"tweets":[{"bookmarked":false,"display_text_range":[0,255],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[235,241]},{"id_str":"2896449589","name":"Ara","screen_name":"arafatkatze","indices":[243,255]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984349479785677195","quoted_status_permalink":{"url":"https://t.co/QuyUP5B66g","expanded":"https://twitter.com/cline/status/1984349479785677195","display":"x.com/cline/status/1…"},"retweeted":false,"fact_check":null,"id":"1986078603973661163","view_count":5562,"bookmark_count":20,"created_at":1762353013000,"favorite_count":87,"quote_count":2,"reply_count":2,"retweet_count":6,"user_id_str":"1879314108723658752","conversation_id_str":"1986078603973661163","full_text":"Cline now supports interleaved thinking and native tool calling for MiniMax M2, unlocking its full potential.\nHuge thanks to the Cline team for your incredible professionalism and lightning-fast work on the recent PRs. You guys rock! @cline @arafatkatze","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-07","value":30016,"startTime":1762387200000,"endTime":1762473600000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"platform.minimax.io/docs/guides/te…","expanded_url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","url":"https://platform.minimax.io/docs/guides/text-m2-function-call#interleaved-thinking-compatible-format","indices":[1506,1529]},{"display_url":"openrouter.ai/docs/use-cases…","expanded_url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","url":"https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks","indices":[1543,1566]}],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[37,50]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[592,605]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[1116,1129]}]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1986243863775002689","view_count":25384,"bookmark_count":102,"created_at":1762392414000,"favorite_count":301,"quote_count":4,"reply_count":16,"retweet_count":22,"user_id_str":"1879314108723658752","conversation_id_str":"1986243863775002689","full_text":"Excited to announce that MiniMax and @OpenRouterAI have partnered to provide a unified protocol for interleaved thinking support in Chat Completion API for MiniMax-M2, now live on both platforms!\n \nThe lack of proper interleaved thinking support in OpenAI Chat Completion API is a long-standing issue. We had to inject <think> tag into the content,which made it difficult for developers to cleanly separate reasoning from user-facing content while preserving the full performance benefits of interleaved thinking on M2.\n \nOver the past few days, we've been collaborating closely. Building on @OpenRouterAI's Preserve Reasoning Tokens capability, we've implemented a solution where you now get a separate `reasoning_details` field in responses. Simply pass this field back in subsequent requests to maintain interleaved thinking and unlock the full performance of MiniMax-M2. All you need to do is add the `reasoning_split` parameter to your requests.\n \nWe've run benchmarks on both platforms, and the results confirm that M2's performance is now fully unlocked with interleaved thinking enabled.\n \nBig thanks to the @OpenRouterAI team for their great work! We were even discussing this over the weekend.\n \nWe are actively working with more coding tool partners to support this protocol.\nWe hope this can be a unified protocol to support interleaved thinking on Chat Completion API for the community, enabling more models and developers to benefit.\n \nThe docs and code examples are here:\n MiniMax Platform: https://t.co/io6LhDCRLD\n OpenRouter: https://t.co/XDRppKAyZy","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,156],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1341331548566654977","name":"0xSero","screen_name":"0x_Sero","indices":[148,156]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1985061158080987283","quoted_status_permalink":{"url":"https://t.co/AeWgopQm4b","expanded":"https://twitter.com/0x_Sero/status/1985061158080987283","display":"x.com/0x_Sero/status…"},"retweeted":false,"fact_check":null,"id":"1986250128353853542","view_count":4632,"bookmark_count":13,"created_at":1762393907000,"favorite_count":45,"quote_count":0,"reply_count":2,"retweet_count":4,"user_id_str":"1879314108723658752","conversation_id_str":"1986250128353853542","full_text":"The community is just incredible! A great open sourced proxy to support serving M2 with Anthropic and Open compatible API. Excellent job, thank you @0x_Sero","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-08","value":70672,"startTime":1762473600000,"endTime":1762560000000,"tweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]},{"id_str":"1681349314797240320","name":"OpenRouter","screen_name":"OpenRouterAI","indices":[194,207]},{"id_str":"1875995486110593024","name":"Cline","screen_name":"cline","indices":[213,219]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1986449512538513505","quoted_status_permalink":{"url":"https://t.co/ZeM2ATBGHY","expanded":"https://twitter.com/Kimi_Moonshot/status/1986449512538513505","display":"x.com/Kimi_Moonshot/…"},"retweeted":false,"fact_check":null,"id":"1986630221030957438","view_count":9176,"bookmark_count":8,"created_at":1762484529000,"favorite_count":133,"quote_count":2,"reply_count":6,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1986630221030957438","full_text":"Congrats! 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Sure, Guide for claude code cli and its vscode extension \nhttps://t.co/ujGfL94p6a","in_reply_to_user_id_str":"1417648039","in_reply_to_status_id_str":"1983042361518358714","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":1,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,224],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5721582","name":"Alex Volkov 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Really happy to talk with you guys. It's so cool!\nHope you all love our MiniMax Models, M2, Hailuo 2.3, Speech 2.6!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":12,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,231],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984069423439999222","view_count":5314,"bookmark_count":20,"created_at":1761873987000,"favorite_count":118,"quote_count":0,"reply_count":5,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984069423439999222","full_text":"Good news! Kilo Code and Cline are supporting interleaved thinking on Anthropic API for MiniMax M2, which will active the best performance!\nWe are reviewing the code and testing with their brilliant engineers. Hope to deliver soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,80],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1830956655892164613","name":"Hailuo AI (MiniMax)","screen_name":"Hailuo_AI","indices":[7,17]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984000241092509839","quoted_status_permalink":{"url":"https://t.co/VrkUHQC7H0","expanded":"https://twitter.com/arena/status/1984000241092509839","display":"x.com/arena/status/1…"},"retweeted":false,"fact_check":null,"id":"1984115160156664226","view_count":7412,"bookmark_count":8,"created_at":1761884891000,"favorite_count":45,"quote_count":0,"reply_count":0,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1984115160156664226","full_text":"Hailuo @Hailuo_AI ranked just below Veo and Sora! proud to stand among the best!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984079266796175457","view_count":22850,"bookmark_count":32,"created_at":1761876334000,"favorite_count":160,"quote_count":2,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984079266796175457","full_text":"Bad news. OpenRouter has to split <think> again from text response for MiniMax M2, to keep their API unifed with reasoning content. We can understand their concern, but it breaks interleaved thinking, and leads to a significant performance decrease, e.g on SWE bench.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":0,"startTime":1761955200000,"endTime":1762041600000,"tweets":[]},{"label":"2025-11-03","value":60,"startTime":1762041600000,"endTime":1762128000000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984595329971318856","quoted_status_permalink":{"url":"https://t.co/keridC6jb0","expanded":"https://twitter.com/rohanpaul_ai/status/1984595329971318856","display":"x.com/rohanpaul_ai/s…"},"retweeted":false,"fact_check":null,"id":"1984799489870479760","view_count":67704,"bookmark_count":110,"created_at":1762048048000,"favorite_count":391,"quote_count":2,"reply_count":30,"retweet_count":26,"user_id_str":"1879314108723658752","conversation_id_str":"1984799489870479760","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. 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Sure, Guide for claude code cli and its vscode extension \nhttps://t.co/ujGfL94p6a","in_reply_to_user_id_str":"1417648039","in_reply_to_status_id_str":"1983042361518358714","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":2,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,224],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5721582","name":"Alex Volkov 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Really happy to talk with you guys. It's so cool!\nHope you all love our MiniMax Models, M2, Hailuo 2.3, Speech 2.6!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":60,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,231],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984069423439999222","view_count":5314,"bookmark_count":20,"created_at":1761873987000,"favorite_count":118,"quote_count":0,"reply_count":5,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984069423439999222","full_text":"Good news! Kilo Code and Cline are supporting interleaved thinking on Anthropic API for MiniMax M2, which will active the best performance!\nWe are reviewing the code and testing with their brilliant engineers. Hope to deliver soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,80],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1830956655892164613","name":"Hailuo AI (MiniMax)","screen_name":"Hailuo_AI","indices":[7,17]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984000241092509839","quoted_status_permalink":{"url":"https://t.co/VrkUHQC7H0","expanded":"https://twitter.com/arena/status/1984000241092509839","display":"x.com/arena/status/1…"},"retweeted":false,"fact_check":null,"id":"1984115160156664226","view_count":7412,"bookmark_count":8,"created_at":1761884891000,"favorite_count":45,"quote_count":0,"reply_count":0,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1984115160156664226","full_text":"Hailuo @Hailuo_AI ranked just below Veo and Sora! proud to stand among the best!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984079266796175457","view_count":22850,"bookmark_count":32,"created_at":1761876334000,"favorite_count":160,"quote_count":2,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984079266796175457","full_text":"Bad news. OpenRouter has to split <think> again from text response for MiniMax M2, to keep their API unifed with reasoning content. We can understand their concern, but it breaks interleaved thinking, and leads to a significant performance decrease, e.g on SWE bench.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":0,"startTime":1761955200000,"endTime":1762041600000,"tweets":[]},{"label":"2025-11-03","value":208,"startTime":1762041600000,"endTime":1762128000000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984595329971318856","quoted_status_permalink":{"url":"https://t.co/keridC6jb0","expanded":"https://twitter.com/rohanpaul_ai/status/1984595329971318856","display":"x.com/rohanpaul_ai/s…"},"retweeted":false,"fact_check":null,"id":"1984799489870479760","view_count":67704,"bookmark_count":110,"created_at":1762048048000,"favorite_count":391,"quote_count":2,"reply_count":30,"retweet_count":26,"user_id_str":"1879314108723658752","conversation_id_str":"1984799489870479760","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. 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Sure, Guide for claude code cli and its vscode extension \nhttps://t.co/ujGfL94p6a","in_reply_to_user_id_str":"1417648039","in_reply_to_status_id_str":"1983042361518358714","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":2,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,224],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5721582","name":"Alex Volkov 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Really happy to talk with you guys. It's so cool!\nHope you all love our MiniMax Models, M2, Hailuo 2.3, Speech 2.6!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":11,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,231],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984069423439999222","view_count":5314,"bookmark_count":20,"created_at":1761873987000,"favorite_count":118,"quote_count":0,"reply_count":5,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984069423439999222","full_text":"Good news! Kilo Code and Cline are supporting interleaved thinking on Anthropic API for MiniMax M2, which will active the best performance!\nWe are reviewing the code and testing with their brilliant engineers. Hope to deliver soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,80],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1830956655892164613","name":"Hailuo AI (MiniMax)","screen_name":"Hailuo_AI","indices":[7,17]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984000241092509839","quoted_status_permalink":{"url":"https://t.co/VrkUHQC7H0","expanded":"https://twitter.com/arena/status/1984000241092509839","display":"x.com/arena/status/1…"},"retweeted":false,"fact_check":null,"id":"1984115160156664226","view_count":7412,"bookmark_count":8,"created_at":1761884891000,"favorite_count":45,"quote_count":0,"reply_count":0,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1984115160156664226","full_text":"Hailuo @Hailuo_AI ranked just below Veo and Sora! proud to stand among the best!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984079266796175457","view_count":22850,"bookmark_count":32,"created_at":1761876334000,"favorite_count":160,"quote_count":2,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984079266796175457","full_text":"Bad news. OpenRouter has to split <think> again from text response for MiniMax M2, to keep their API unifed with reasoning content. We can understand their concern, but it breaks interleaved thinking, and leads to a significant performance decrease, e.g on SWE bench.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":0,"startTime":1761955200000,"endTime":1762041600000,"tweets":[]},{"label":"2025-11-03","value":42,"startTime":1762041600000,"endTime":1762128000000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984595329971318856","quoted_status_permalink":{"url":"https://t.co/keridC6jb0","expanded":"https://twitter.com/rohanpaul_ai/status/1984595329971318856","display":"x.com/rohanpaul_ai/s…"},"retweeted":false,"fact_check":null,"id":"1984799489870479760","view_count":67704,"bookmark_count":110,"created_at":1762048048000,"favorite_count":391,"quote_count":2,"reply_count":30,"retweet_count":26,"user_id_str":"1879314108723658752","conversation_id_str":"1984799489870479760","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. 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Sure, Guide for claude code cli and its vscode extension \nhttps://t.co/ujGfL94p6a","in_reply_to_user_id_str":"1417648039","in_reply_to_status_id_str":"1983042361518358714","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":50,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,224],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5721582","name":"Alex Volkov 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Really happy to talk with you guys. It's so cool!\nHope you all love our MiniMax Models, M2, Hailuo 2.3, Speech 2.6!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":323,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,231],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984069423439999222","view_count":5314,"bookmark_count":20,"created_at":1761873987000,"favorite_count":118,"quote_count":0,"reply_count":5,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984069423439999222","full_text":"Good news! Kilo Code and Cline are supporting interleaved thinking on Anthropic API for MiniMax M2, which will active the best performance!\nWe are reviewing the code and testing with their brilliant engineers. Hope to deliver soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,80],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1830956655892164613","name":"Hailuo AI (MiniMax)","screen_name":"Hailuo_AI","indices":[7,17]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984000241092509839","quoted_status_permalink":{"url":"https://t.co/VrkUHQC7H0","expanded":"https://twitter.com/arena/status/1984000241092509839","display":"x.com/arena/status/1…"},"retweeted":false,"fact_check":null,"id":"1984115160156664226","view_count":7412,"bookmark_count":8,"created_at":1761884891000,"favorite_count":45,"quote_count":0,"reply_count":0,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1984115160156664226","full_text":"Hailuo @Hailuo_AI ranked just below Veo and Sora! proud to stand among the best!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984079266796175457","view_count":22850,"bookmark_count":32,"created_at":1761876334000,"favorite_count":160,"quote_count":2,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984079266796175457","full_text":"Bad news. OpenRouter has to split <think> again from text response for MiniMax M2, to keep their API unifed with reasoning content. We can understand their concern, but it breaks interleaved thinking, and leads to a significant performance decrease, e.g on SWE bench.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-02","value":0,"startTime":1761955200000,"endTime":1762041600000,"tweets":[]},{"label":"2025-11-03","value":825,"startTime":1762041600000,"endTime":1762128000000,"tweets":[{"bookmarked":false,"display_text_range":[0,280],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984595329971318856","quoted_status_permalink":{"url":"https://t.co/keridC6jb0","expanded":"https://twitter.com/rohanpaul_ai/status/1984595329971318856","display":"x.com/rohanpaul_ai/s…"},"retweeted":false,"fact_check":null,"id":"1984799489870479760","view_count":67704,"bookmark_count":110,"created_at":1762048048000,"favorite_count":391,"quote_count":2,"reply_count":30,"retweet_count":26,"user_id_str":"1879314108723658752","conversation_id_str":"1984799489870479760","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. 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Sure, Guide for claude code cli and its vscode extension \nhttps://t.co/ujGfL94p6a","in_reply_to_user_id_str":"1417648039","in_reply_to_status_id_str":"1983042361518358714","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-31","value":5017,"startTime":1761782400000,"endTime":1761868800000,"tweets":[{"bookmarked":false,"display_text_range":[0,224],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5721582","name":"Alex Volkov 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Really happy to talk with you guys. It's so cool!\nHope you all love our MiniMax Models, M2, Hailuo 2.3, Speech 2.6!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-01","value":35576,"startTime":1761868800000,"endTime":1761955200000,"tweets":[{"bookmarked":false,"display_text_range":[0,231],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984069423439999222","view_count":5314,"bookmark_count":20,"created_at":1761873987000,"favorite_count":118,"quote_count":0,"reply_count":5,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984069423439999222","full_text":"Good news! Kilo Code and Cline are supporting interleaved thinking on Anthropic API for MiniMax M2, which will active the best performance!\nWe are reviewing the code and testing with their brilliant engineers. Hope to deliver soon!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,80],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1830956655892164613","name":"Hailuo AI (MiniMax)","screen_name":"Hailuo_AI","indices":[7,17]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1984000241092509839","quoted_status_permalink":{"url":"https://t.co/VrkUHQC7H0","expanded":"https://twitter.com/arena/status/1984000241092509839","display":"x.com/arena/status/1…"},"retweeted":false,"fact_check":null,"id":"1984115160156664226","view_count":7412,"bookmark_count":8,"created_at":1761884891000,"favorite_count":45,"quote_count":0,"reply_count":0,"retweet_count":5,"user_id_str":"1879314108723658752","conversation_id_str":"1984115160156664226","full_text":"Hailuo @Hailuo_AI ranked just below Veo and Sora! proud to stand among the best!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984079266796175457","view_count":22850,"bookmark_count":32,"created_at":1761876334000,"favorite_count":160,"quote_count":2,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984079266796175457","full_text":"Bad news. OpenRouter has to split <think> again from text response for MiniMax M2, to keep their API unifed with reasoning content. 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Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. You can run M2 on your own server, and there are some reports developers have done it.\nAnd people actually could post-train open-source models, we all have seen what happened this week, several products released their post-trained models, and all have good performance on their tasks.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1984809180163948701","view_count":9854,"bookmark_count":42,"created_at":1762050359000,"favorite_count":126,"quote_count":3,"reply_count":9,"retweet_count":8,"user_id_str":"1879314108723658752","conversation_id_str":"1984809180163948701","full_text":"As we work more closely with partners, we’ve been surprised how poorly community support interleaved thinking, which is crucial for long, complex agentic tasks. Sonnet 4 introduced it 5 months ago, but adoption is still limited.\nWe think it’s one of the most important features for agentic models: it makes great use of test-time compute.\nThe model can reason after each tool call, especially when tool outputs are unexpected. That’s often the hardest part of agentic jobs: you can’t predict what the env returns. With interleaved thinking, the model could reason after get tool outputs, and try to find out a better solution.\nWe’re now working with partners to enable interleaved thinking in M2 — and hopefully across all capable models.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984799489870479760","quoted_status_permalink":{"url":"https://t.co/6NMixqwuov","expanded":"https://twitter.com/SkylerMiao7/status/1984799489870479760","display":"x.com/SkylerMiao7/st…"},"retweeted":false,"fact_check":null,"id":"1984804160446087495","view_count":5780,"bookmark_count":21,"created_at":1762049162000,"favorite_count":77,"quote_count":0,"reply_count":3,"retweet_count":2,"user_id_str":"1879314108723658752","conversation_id_str":"1984804160446087495","full_text":"One more thing, We find There’s an “impossible triangle” in AI models: performance, cost, and speed. You can’t have all three — most models only get one or two. That's why we built M2. We think there should be a model get great performance, but with affordable price and fast.\nM2 hits a sweet spot on the triangle: it's top 5 performance on AA leaderboard, 8% price of Sonnet 4.5, 2x faster.\nTalking a bit more about model output speed(TPS), why we care a lot about it, cause it directly impacts Agent efficiency and saves people tons of time.\nAgentic jobs like coding, usually take 20~30 turns, sometimes even 100 truns. 2x~3x TPS means that 30 mins task at the past, now can be done in 10~15min. You may used to wait 2~3 mins for AI IDE to give the patch, now it's in a dozons second.\nE.g People use Claude Code/Cursor will know how important speed/TPS is.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,191],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984641638820463010","quoted_status_permalink":{"url":"https://t.co/1BwlQJD4po","expanded":"https://twitter.com/scaling01/status/1984641638820463010","display":"x.com/scaling01/stat…"},"retweeted":false,"fact_check":null,"id":"1984805476798984416","view_count":9061,"bookmark_count":13,"created_at":1762049476000,"favorite_count":147,"quote_count":0,"reply_count":9,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984805476798984416","full_text":"Welcome to try the now SOTA one, MiniMax M2! And welcome feedbacks, we know it's not perfect, working hard on M2.1 now. Hope to release it as soon as we could, with impovements you guys want.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1984812729979584786","quoted_status_permalink":{"url":"https://t.co/LIuHmWN2zN","expanded":"https://twitter.com/bookwormengr/status/1984812729979584786","display":"x.com/bookwormengr/s…"},"retweeted":false,"fact_check":null,"id":"1984818138706559364","view_count":8357,"bookmark_count":15,"created_at":1762052495000,"favorite_count":54,"quote_count":0,"reply_count":7,"retweet_count":3,"user_id_str":"1879314108723658752","conversation_id_str":"1984818138706559364","full_text":"Yes, actually most model, including M2, will remove thinking blocks in history messages before last user message, but keep them in messages after last user message.\nSo it used to be a cache missing every time user send a new query on Anthropic API, if you enable thinking. Glad they have a solution now. And we will pay attention to it as we are implementing cache for M2.\nTYSM for your reminding message!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,294],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2588345408","name":"Rohan Paul","screen_name":"rohanpaul_ai","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"rohanpaul_ai","lang":"en","retweeted":false,"fact_check":null,"id":"1984803273023672407","view_count":2917,"bookmark_count":7,"created_at":1762048950000,"favorite_count":30,"quote_count":0,"reply_count":2,"retweet_count":0,"user_id_str":"1879314108723658752","conversation_id_str":"1984595329971318856","full_text":"Which I do not agree. Actually, MiniMax M2 is 230B-A10B, already supported over MLX and llama.cpp by the community's great contribution. 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