MiniMax M3 把编码、智能体和多模态塞进一个开源模型，做 AI 应用和 Agent 开发的团队可以直接在 Arena 上测效果，省去自己搭环境的时间。
MiniMax 发布开源权重模型 M3，首次在单一模型中融合编码、智能体与多模态三大前沿能力。在 SWE-Bench Pro 上达到 59.0%，Terminal Bench 2.1 为 66.0%，并支持 1M 上下文长度。模型已上线 Arena 的文本、视觉、文档和代码竞技场，用户可投票评测。权重和技术报告将在约 10 天后公开。
New open model: MiniMax M3 by @MiniMax_AI is live in the Arena! Find it across Text, Vision, Docume...
New open model: MiniMax M3 by @MiniMax_AI is live in the Arena! Find it across Text, Vision, Document and Code Arena: Frontend. Bring your toughest prompts and vote. Scores incoming soon! MiniMax (official) @MiniMax_AI 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/subscribe/toke… 🚀New! MiniMax Code: code.minimax.io l Weights & Tech Report in ~10 Days 🔗 View Quoted Tweet 💬 2 🔄 3 ❤️ 24 👀 1418 📊 4 ⚡