Code: @MiniMaxAgent MiniMax Design: @Hailuo_AI API: https://xitter.cf/t.co/fHRdSV73Hr M Plan: https://xitter.cf/t.co/XfJWSyauda

San Francisco
Joined January 2025
MiniMax (official) retweeted
MiniMax M3.1 Flash (aka Space Bunny) from @MiniMax_AI is live on Modular Cloud, day zero. M3.1 Flash is best in cowork automation among open models, with SOTA-level coding and engineering performance. It can ship a fix in a real codebase, then update Jira and Slack afterwards. We worked with the MiniMax team ahead of launch, so M3.1 Flash is already serving production traffic on Modular Cloud. Evaluating it for your stack? Try it now: console.modular.com/signup?u…
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MiniMax (official) retweeted
0G Labs
@0G_labsOct 21
The meter's off. MiniMax M3.1 Flash is free on 0G Private Computer until Oct 24, 13:00 UTC. No balance needed, just an API key. Let your agent run with @MiniMax_AI pc.0g.ai/models/minimax-m3.1…
0G Labs
@0G_labsOct 20
Save your longest agent run for Wednesday. MiniMax M3.1 Flash goes free on 0G Private Computer for 3 days, from Oct 21, 13:00 UTC. No balance needed, just an API key. Point your Hermes Agent at it. pc.0g.ai/models/minimax-m3.1…
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MiniMax (official) retweeted
Congratulations to @MiniMax_AI on launching M3.1 Flash! 🎉 We're proud to be a launch partner from day one. Faster, lighter, and built for volume. Whether you’re building, learning something new or just getting through the day, your Mind is a digital companion that grows with you and helps you unlock what you never thought was possible. Try it out at hellominds.ai.
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
MiniMax M3.1 Flash mogs Muse and DeepSeek for FREE 🔥 Try Space Bunny on aimlapi.com
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
MiniMax M3.1 Flash got 1.5x faster in Atomic Agent! We ran a Halloween prompt that builds one continuous 3D scene. In Atomic Fusion a local Qwen 3.8 27B wrote the plan, MiniMax did the coding and it was done in 8 minutes! Try Atomic Agent for FREE -> atomicagent.io
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
❤️open weights soon!
TL;DR: - MiniMax M3.1 Flash is the anonymous "Space Bunny" model that was #1 on OpenCode for 12 days straight - 1M context, with text, image and video input - 1/3 the cost of M3 and 3x the speed - $0.15 / $0.60 per 1M input/output tokens, cache reads $0.015 - Automation-Bench: 62.2%, ahead of Opus 5 (50.3%) and GPT-5.6 Sol (45.8%) - DeepSWE: 73.7%, about tied with Opus 5 (74.0%) and behind DeepSeek V4.1 Flash (77.0%) - ALE: 29.6% for about $111 total, close to Opus 5 (32.2%) and GPT-5.6 Sol (30.6%); Opus 5.5 scores higher (about 38%) but costs over $1,000 - BabyVision: 91.0%, just behind DeepSeek V4.1 Flash (92.5%) - Open weights coming later, no date yet
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MiniMax (official) retweeted
MiniMax M3.1 Flash vs Claude Opus 5.5 in cinematic absurdity. Two takes on the impossible, made with Higgsfield.
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MiniMax (official) retweeted
The 🐰 is out of the bag. It’s MiniMax M3.1 Flash from @MiniMax_AI, and it’s now on TokenRouter. M3.1 Flash scores 73.7% on DeepSWE v1.1, so it can burrow into a real codebase and come back with working fixes. On AutomationBench-AA it reaches 62.2, a test of business workflows that jump across several SaaS tools before the job is done. Output costs $0.60 per million tokens, which is not many carrots for a model this fast on its feet. Let it loose on TokenRouter: tokenrouter.com/models
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MiniMax (official) retweeted
This model is insane at design. And 88x cheaper than Claude Opus 5.5 on my test! I asked M3.1 Flash (left) and Opus 5.5 (right) to build me a landing page for a hardware device launch. MiniMax cost just $0.014 vs $1.22 for Opus, while being 4x faster and more token efficient.
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
Command Code
@CommandCodeAIOct 19
MiniMax M3.1 Flash (aka Space Bunny) is now live and FREE in Command Code for limited time! · 1M token context window · Frontier level coding performance · Available all plans, all subscribers
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MiniMax (official) retweeted
Give it a try~ 👇 I've built a little toy, just for fun: coding models for the game+ video editing, MiniMax H3 for the cinematics. Every scene is written, voiced and filmed as you play. Making the game is becoming the game.🫡 The creative loop is the fun part, and AI doesn't take it away from you. It just lets you build what you imagine, faster.
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
One thing I’m really excited about with M3.1-Flash is how we’re finding that sweet spot between intelligence, speed, and cost🤗 And M3-Pro is up next! Can’t wait to share what we’ve been working on, sooooon
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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MiniMax (official) retweeted
Who is Space Bunny? 🐰🌕 Something's hopping onto Together AI 🔜⏳
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MiniMax (official) retweeted
Finallyyy comics in a whole new format
MiniMax-H3 + ORB360 LoRAで画角を自由に動かせる漫画を作ってみた。 キャラを参照画像で渡せば、顔も固定できる。
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MiniMax (official) retweeted
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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MiniMax (official) retweeted
𝖶𝖾 𝗁𝖺𝗏𝖾 𝗃𝗎𝗌𝗍 𝗈𝗉𝖾𝗇-𝗌𝗈𝗎𝗋𝖼𝖾𝖽 𝗈𝗎𝗋 𝗏𝖺𝗋𝗂𝖺𝗇𝗍 𝗈𝖿 𝖵𝖢 𝖠𝗍𝗍𝖾𝗇𝗍𝗂𝗈𝗇 𝖿𝗈𝗋 𝖭𝖵𝖨𝖣𝖨𝖠 𝖡𝗅𝖺𝖼𝗄𝗐𝖾𝗅𝗅: 𝗮𝗯𝗼𝘂𝘁 𝟮× 𝘁𝗵𝗲 𝘀𝗽𝗲𝗲𝗱 𝗼𝗳 𝗕𝗙𝟭𝟲 𝗙𝗹𝗮𝘀𝗵𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗼𝗻 𝗕𝟮𝟬𝟬 𝖿𝗈𝗋 𝗆𝗈𝖽𝖾𝗅𝗌 𝗅𝗂𝗄𝖾 @MiniMax_AI 𝐌𝐢𝐧𝐢𝐦𝐚𝐱 𝗛𝟑. 𝖠𝗅𝗈𝗇𝗀 𝗍𝗁𝖾 𝗐𝖺𝗒, 𝗐𝖾 𝗆𝖺𝖽𝖾 𝗌𝖾𝗏𝖾𝗋𝖺𝗅 𝗂𝗆𝗉𝗋𝗈𝗏𝖾𝗆𝖾𝗇𝗍𝗌 𝖻𝖾𝗒𝗈𝗇𝖽 𝗍𝗁𝖾 𝗈𝗋𝗂𝗀𝗂𝗇𝖺𝗅 𝗉𝖺𝗉𝖾𝗋, 𝗉𝗎𝗌𝗁𝗂𝗇𝗀 𝗉𝖾𝗋𝖿𝗈𝗋𝗆𝖺𝗇𝖼𝖾 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟮𝟬% 𝗳𝘂𝗿𝘁𝗵𝗲𝗿 - 𝗇𝗈𝗐 𝗐𝗂𝗍𝗁𝗂𝗇 𝟥𝟢% 𝗈𝖿 𝗍𝗁𝖾 𝖽𝖾𝗇𝗌𝖾 𝖺𝗍𝗍𝖾𝗇𝗍𝗂𝗈𝗇 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝗐𝖾 𝗋𝗎𝗇 𝗂𝗇 𝗉𝗋𝗈𝖽𝗎𝖼𝗍𝗂𝗈𝗇, 𝗐𝗁𝗂𝗅𝖾 𝗋𝖾𝗊𝗎𝗂𝗋𝗂𝗇𝗀 𝗌𝗂𝗀𝗇𝗂𝖿𝗂𝖼𝖺𝗇𝗍𝗅𝗒 𝗅𝖾𝗌𝗌 𝖼𝖺𝗅𝗂𝖻𝗋𝖺𝗍𝗂𝗈𝗇 𝖺𝗇𝖽 𝗇𝗈 𝖿𝗂𝗇𝖾-𝗍𝗎𝗇𝗂𝗇𝗀. 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝖼𝗈𝗆𝖾𝗌 𝖽𝗈𝗐𝗇 𝗍𝗈 𝗍𝗐𝗈 𝗍𝗁𝗂𝗇𝗀𝗌: 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝖺𝗇𝖽 𝗋𝖾𝖼𝗂𝗉𝖾𝗌. 𝖦𝗋𝖾𝖺𝗍 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝗉𝗎𝗌𝗁 𝗁𝖺𝗋𝖽𝗐𝖺𝗋𝖾 𝖼𝗅𝗈𝗌𝖾𝗋 𝗍𝗈 𝗂𝗍𝗌 𝗅𝗂𝗆𝗂𝗍𝗌. 𝖦𝗋𝖾𝖺𝗍 𝗋𝖾𝖼𝗂𝗉𝖾𝗌 𝗍𝗎𝗋𝗇 𝗍𝗁𝖺𝗍 𝗌𝗉𝖾𝖾𝖽 𝗂𝗇𝗍𝗈 𝗋𝖾𝖺𝗅 𝗌𝗒𝗌𝗍𝖾𝗆𝗌. 𝖶𝗁𝖾𝗇 𝗌𝗍𝗋𝗈𝗇𝗀 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝖺𝗋𝖾 𝗈𝗉𝖾𝗇, 𝗐𝗁𝖺𝗍 𝗆𝗂𝗀𝗁𝗍 𝗁𝖺𝗏𝖾 𝖻𝖾𝖾𝗇 𝗈𝗇𝖾 𝖼𝗈𝗆𝗉𝖺𝗇𝗒’𝗌 𝗆𝗈𝖺𝗍 𝖼𝖺𝗇 𝖻𝖾𝖼𝗈𝗆𝖾 𝖾𝗏𝖾𝗋𝗒𝗈𝗇𝖾 𝖾𝗅𝗌𝖾’𝗌 𝖿𝗈𝗎𝗇𝖽𝖺𝗍𝗂𝗈𝗇. 𝖬𝗎𝖼𝗁 𝗈𝖿 𝗐𝗁𝖺𝗍 𝗐𝖾’𝗏𝖾 𝖻𝗎𝗂𝗅𝗍 𝖺𝗍 𝖬𝖺𝖼𝗁𝖦𝖾𝗇 𝗌𝗍𝖺𝗇𝖽𝗌 𝗈𝗇 𝗒𝖾𝖺𝗋𝗌 𝗈𝖿 𝗈𝗉𝖾𝗇 𝗋𝖾𝗌𝖾𝖺𝗋𝖼𝗁 𝗌𝗁𝖺𝗋𝖾𝖽 𝖻𝗒 𝗉𝖾𝗈𝗉𝗅𝖾 𝗐𝖾 𝗆𝖺𝗒 𝗇𝖾𝗏𝖾𝗋 𝗆𝖾𝖾𝗍. 𝖮𝗉𝖾𝗇-𝗌𝗈𝗎𝗋𝖼𝗂𝗇𝗀 𝗍𝗁𝗂𝗌 𝗂𝗌 𝗈𝗎𝗋 𝗌𝗆𝖺𝗅𝗅 𝗐𝖺𝗒 𝗈𝖿 𝖼𝗈𝗇𝗍𝗂𝗇𝗎𝗂𝗇𝗀 𝗍𝗁𝖺𝗍 𝖼𝗒𝖼𝗅𝖾 - 𝖺𝗇𝖽 𝗀𝗂𝗏𝗂𝗇𝗀 𝗍𝗁𝖾 𝗇𝖾𝗑𝗍 𝖻𝗎𝗂𝗅𝖽𝖾𝗋 𝖺 𝗁𝗂𝗀𝗁𝖾𝗋 𝗉𝗅𝖺𝖼𝖾 𝗍𝗈 𝗌𝗍𝖺𝗋𝗍. 𝖡𝗅𝗈𝗀: lnkd.in/g-FK553s 𝖢𝗈𝖽𝖾: lnkd.in/ge9x4Vjt 𝖬𝗈𝗋𝖾 𝗍𝗈 𝖼𝗈𝗆𝖾.
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MiniMax (official) retweeted
Take a wild guess at my fav flavor👀
A sweet treat to get you through SF Tech Week. Our SomiSomi pop-up is available all week. Be sure to check out flavors inspired by our friends at @MiniMax_AI, @arcee_ai, and @weaviate_io.
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MiniMax (official) retweeted
𝗠𝗶𝗻𝗶𝗠𝗮𝘅 𝗛3. 30 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝘀𝗲𝗰𝗼𝗻𝗱𝘀. 𝗟𝗶𝘃𝗲 𝗼𝗻 𝗠𝗮𝗰𝗵𝗚𝗲𝗻. MiniMax H3 natively cuts off at 15 seconds. We just broke that ceiling. Not two clips stitched into a montage. One single, uninterrupted visual sequence unfolding for half a minute – creating 𝘁𝗶𝗺𝗲 𝗳𝗼𝗿 𝗮 𝗺𝗼𝗺𝗲𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝘀𝘁𝗼𝗿𝘆. 🔥 Zero clip-stitching, 100% continuous motion ⚡ Live right now in Open Beta on UI & API (select 16-30s) Test 30s MiniMax H3 today 👇 machgen.ai
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Utopai X (based on MiniMax H3) debuts at #2 on the Artificial Analysis Text to Video Leaderboard, behind only Wan 3.0 Utopai X is the new video model from Utopai Studios, post-trained on MiniMax H3 and launching today inside PAI, Utopai’s cinematic storytelling web platform. Utopai Studios is an AI-native film and TV studio, with three wide theatrical release films and two series scheduled for release in 2027. In AA-Video-T2V v2.0, our refreshed Text to Video with Audio leaderboard, Utopai X ranks #2, behind Wan 3.0 and ahead of Dreamina Seedance 2.5. As of today, it is the highest ranked of the three models on the leaderboard built on MiniMax H3, ahead of MiniMax H3 itself and fal's MiniMax H3 Max. Utopai X is available in PAI at 93 PAI credits per second of video, with no public API. PAI plans start at $15 per month (billed monthly) for 1,000 credits. Congratulations to @UtopaiStudios on the release! See below for our analysis and example outputs of Utopai X in the Artificial Analysis Video Arena 🧵
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MiniMax (official) retweeted
M3.1-Flash-Preview, debuts today on MiniMax Code. Welome everyone to try it.
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