@minimax_ai · X
MiniMax M3 现已上线 GMI Cloud @gmi_cloud
Compared MiniMax M3 against three other frontier open-source models: DeepSeek V4, Qwen 3.7 Max, and MiMo 2.5 Pro MiniMax M3 crashed others on: 1. collision physics 2. 3D pinball generation It was the only model that produced a result for the 3D pinball test For human motion rendering and hexagon sketching, Qwen 3.7 Max still tops Video
MiniMax M3 is live and Together AI is powering its inference 🚀 Tomorrow at 6pm PT we're going live on X Spaces with the teams behind the model and the infrastructure to give you a deep dive. nitter.net/i/spaces/1nxeLLDDBEaJX
MiniMax just released MiniMax-M3, their first multimodal model. It is the new open-weight SOTA on the Vals Index and the Vals Multimodal Index, and #6 overall.
推荐理由：MiniMax 的多模态模型在 Vals 两个榜单取得开源权重最佳成绩，读者可对照它与整体榜单前列的排名差距。
x.com/i/article/206189124776…
Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days
推荐理由：官方给出 M3 在编码与智能体基准上的具体分数和 1M 上下文，读者可据此对照同类开源模型的能力边界。
Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days
推荐理由：原文列出 M3 的编码与 Agent 基准成绩及 1M 上下文能力，可对照开源模型的当前水位。
我们现在开播了 🔴 和 @togethercompute 一起深入探讨 M3：模型、MSA 架构，以及驱动它的推理。 来玩 👇 nitter.net/i/spaces/1nxeLLDDBEaJX…
Make sure to join our live Spaces chat on MiniMax M3 starting in 4 hours. You can pre-submit questions by replying to this tweet.
MiniMax M3 is available on AI Gateway. MiniMax's first long-context model, with support for multimodal inputs. 50% off for the next week. 𝚖𝚘𝚍𝚎𝚕: '𝚖𝚒𝚗𝚒𝚖𝚊𝚡/𝚖𝚒𝚗𝚒𝚖𝚊𝚡-𝚖𝟹' vercel.com/changelog/minimax…
推荐理由：MiniMax M3 通过 Vercel AI Gateway 开放调用，1M token 上下文与多模态输入是其主要能力变化。
M3 from @MiniMax_AI is now available on Cloudflare AI Gateway: - First open model to push SOTA coding frontier - 1M context and native multimodal understanding - 50% off during the first week for requests ≤ 512K context Try it out through AI Gateway today! developers.cloudflare.com/ai…
推荐理由：M3 上线当天即可通过 Cloudflare AI Gateway 调用，读者可据此了解这款开源编码模型的能力与首周折扣。
价格标签说明了一切 👀 M3 已上线 @aimlapi！ 自己去试试吧 😎
MiniMax M3 is now available on AI/ML API! To test it, we asked several leading models to oneshot Doodle Jump from the scratch. The results ended up looking far closer than the price tags. MiniMax M3: $0.05 Qwen 3.7 Max: $0.08 DeepSeek V4 Pro: $0.10 GPT-5.5: $0.42 Curious which one you'd pick in a blind comparison. We also offer it 50% off for a limited time. Find docs, guides for setting it up & prompt below Video
餐巾纸草图 → 可玩游戏，仅 $0.028 😳 这正是 M3 为之打造的场景 @atomic_chat_hq
MiniMax M3 turned a napkin sketch into a playable game We handed MiniMax M3 a hand-drawn draft of a Doodle Jump style platformer. It read the elements off the draft, wrote the logic, drew the interface and shipped it as one self-contained HTML game Input: 6,920 tokens Output: 9,933 tokens Cost: $0.028 @MiniMax_AI drops M3 on @huggingface next week Video
杂乱、多模态、普通对话装不下？M3 来搞定 🫡 @happycapyai
MiniMax M3 @MiniMax_AI is now live on Happycapy 🎉 A major upgrade for agent workflows, especially when the task is messy, multimodal, and too large for a normal chat. Now you can give the agent more context upfront and let it work across everything in one run: • Native multimodal input: PDFs, videos, images, screenshots, and long docs • Strong coding and agent work: useful for repo level debugging, issue tracing, and Connect My Mac tasks • Open weights and about 3x cheaper than Sonnet. Build more, pay less! We put it to the test below 🧵 Video
@MiniMax_AI M3 is now live on Qubrid AI. platform.qubrid.com/model/mi… - 1M-token context. - Native multimodality. - Frontier coding performance. - Long-horizon agentic workflows. One of the most technically interesting open-weight model releases of the year. We're proud to be a Day 0 launch partner and are offering 50% off for early adopters. More on the launch, benchmarks, architecture, API access, pricing, and partnership: qubrid.com/blog/minimax-m3-i…
Today @MiniMax_AI ships M3 — the first frontier model purpose-built for computer-use agents. Natively multimodal. One model, almost every real-world task. And today, @sai_borg runs it. Our users are the first to use M3 the way it was designed to be used — on a real desktop, doing real work. This is what model-and-agent alignment looks like. → Try it: sai.work
MiniMax m3 is a huge 26% improvement on BU Bench with browsercode, and shows promise for some potential future improvement. Now it is on the level of Claude 4.6-sonnet and gemini 3.5 flash
跟祖传的 20K context 说 bye bye 了。 MiniMax M3 发布了，三个亮点： 1M context、原生多模态、Agentic。 我这次做了一次完整评测，使用CC workflow 、 @ZenMuxAI和MiniMax M3： 给一张截图，做一个“凡人修仙剑阵对决手势游戏”。 要求是：支持双人对决 、使用 workflow 拆解任务、加入石头剪刀布机制。 2 小时后，游戏真的跑起来了。 这一代LLM的版本答案我知道了： 1M 上下文 + 多模态+ agent 模式。 1M context 是推理深度的基础，多 agent 负责拆任务和执行。 Video
推荐理由：官方给出 M3 的开源权重与大上下文等信息，引用评测展示了多模态加 Agent 工作流的实际产出。
MiniMax M3 might be the most underrated coding model right now. I gave it nothing but a screenshot of a chaotic 90s GeoCities-style fan page, no HTML source, just the image + the asset files, and told it to rebuild the whole thing as a sleek Apple-style 2026 site. One shot. Through OpenCode. The result is genuinely stunning. It kept the soul (the "stevibe's HyperHome" identity, the visitor counter, the guestbook, the webmaster portrait) and translated every section into clean modern design, gradient hero, proper typography, dark theme, the works. Video
Minimax M3 is excellent at SVG generation, reaching close to Gemini 3.5 Flash levels and beating Opus 4.7 on SVG-Bench. With 1M context, native multimodality, strong agentic/coding ability and open weights coming soon, the closed-source moat is thinning fast. Full Video: piped.video/p6Npi-HBoRU Video
🚀 We’re launching MiniMax M3 from @MiniMax_AI on Novita AI as a Day-0 API launch partner. The first open-weights model to combine: • Frontier coding and agent capabilities 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 74.2% MCP Atlas • Up to 1M tokens of context Enabled by MiniMax Sparse Attention • Native multimodality from day one Built for both text and visual understanding Excited to make MiniMax M3 available to developers on Day 0. Video
推荐理由：M3 在 Novita 上线并附上 SWE-Bench Pro 等基准，可据此了解其编码与智能体能力定位。
MiniMax M3 scores 90.3% GPT 5.5 Scores 92.4% Just a 2.1% gap now at @convex. Incredible to see the open-source models closing in. The future of AI is open. 🤖💪
很高兴与 @BAI_AGI 联手 🤝 M3 提供大脑，现在智能体有了可以运作的资金通道🔥
B.AI 🤝 @MiniMax_AI Powerful agents require both advanced intelligence and robust economic infrastructure. We are partnering with MiniMax to help accelerate the future of AI-native applications and autonomous agents. As MiniMax advances the frontier of reasoning, coding, multimodal understanding, and agentic workflows, B.AI is building the financial infrastructure that enables intelligent agents to transact, coordinate, and operate within decentralized economies.
喜闻乐见 🙌 去 @orca_build 里用 @opencode 试试 M3 吧
Blown away by MiniMax M3 I’ve been using it for free inside @orca_build with the @opencode agent Mostly UI tasks & code review so far, but so far it feels on par with Opus-4.7 Didn’t expect it to be this good. (also free while it lasts)
You can now try @MiniMax_AI M3 in CyOps (ai.cysic.xyz/cyhost) now!
MiniMax M3 is now live on Zo 🤝
MiniMax M3 is now live on Zo 🤝
🚀 @MiniMax_AI M3 is now available on OrcaRouter. One of the most anticipated open model releases, bringing next-gen sparse attention, ultra-long context handling (up to 1M tokens of context with a guaranteed minimum of 512K), faster inference, and stronger agentic workflows. Try it out here: orcarouter.ai/models/minimax…
推荐理由：MiniMax M3 首日上线 OrcaRouter，读者可据此了解其长上下文与智能体工作流的能力定位。
Congrats to the @MiniMax_AI team on the release of M3! 👉 A frontier-class open-weight model 👉 1M context window 👉 Native multimodality (image & video)
推荐理由：MiniMax M3 以开放权重、1M 上下文和原生多模态发布，读者可据此了解实时语音与视频的集成方向。
M3 在 Hermes Agent 首日上线 🔥 自动出现在你的模型选择器中 感谢 @Teknium 和 Nous 团队
Minimax M3 is now live in Hermes Agent on Nous Portal, OpenRouter, and Minimax Direct Providers! No need to hermes update, it should appear in your model picker automatically!
MiniMax 官方账号宣布放出 M3，配文是儿童节祝福。其引用的他人推文称中国正值 6 月 1 日儿童节，MiniMax 送上了最好的礼物 M3。
A fun fact: Right now in China it's June 1st Children's Day @MiniMax_AI just brought their best gift M3👧🎁
MiniMax-M3 by @MiniMax_AI is now live on Venice. The first open-weight model to deliver frontier coding and agentic performance with native multimodality. Built for long-horizon, complex workflows. Available anonymously.
推荐理由：MiniMax-M3 以开放权重同时具备前沿编码与智能体能力，支持 1M 上下文和原生多模态，面向长周期复杂工作流。
MiniMax-M3 is live on OpenRouter! A frontier-class open-weight model that combines a 1M-token context window, frontier coding and agentic performance, and native multimodality (image & video) in one model.
推荐理由：MiniMax-M3 上线 OpenRouter 并给出首周折扣，可了解其 1M 上下文与多模态能力的组合方式。
MiniMax M3 is live and Together AI is powering its inference 🚀 Tomorrow at 6pm PT we're going live on X Spaces with the teams behind the model and the infrastructure to give you a deep dive. nitter.net/i/spaces/1nxeLLDDBEaJX
🔥API 定价与优惠 - 前 7 天标准用量（≤512K 上下文）5 折 - 优先接入可通过以下方式申请：api@minimax.io - 面向所有用户的自助接入将在未来几天内上线
推荐理由：MiniMax M3 放出编码、1M 上下文与多模态的基准成绩，可供开源权重模型选型时对照参考。
MiniMax M2.7 + CyOps = 成绩单自己会说话 💪
I gave the same Go MMRPG backend spec to two coding agents and then asked Claude to judge the performance. CC (with Sonnet 4.6) 4.6 shipped 1,409 lines of clean, readable code. CyOps with @MiniMax_AI M2.7 shipped 5,271 lines of denser, layered code.
在 @OpenHandsDev 上用 MiniMax M2.7 免费体验智能体编程？ 当然要！ 限时开放 ⚡👀
We have also partnered with @MiniMax_AI to provide *free access to agents with MiniMax-M2.7* for a limited time! This is a great opportunity to test out how to mix in cost-effective models into your coding workflows. Try it out here: app.all-hands.dev
Recently, we took time to consolidate all of the work behind M2 and published it here: our M2 paper on arXiv It’s been just over six months since we first open-sourced M2 on December 23 last year. During that time, a number of our ideas and systems have been broadly adopted by the open-source community — including CISPO, Forge RL System, Self-Evolution. Over the past six months, we’ve felt incredible enthusiasm from the open-source community. Nearly every model release reached the #1 spot on the Hugging Face leaderboard. Now it’s time for a new chapter. We’re getting ready for M3. MSA paper is on the road. arxiv.org/abs/2605.26494