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MiniMax 发布开源权重模型 M3，称其为首个同时具备编码与智能体能力、1M 上下文和原生多模态输入的开源权重模型。官方给出的成绩包括 SWE-Bench Pro 59.0%、Terminal Bench 2.1 66.0%、SWE-fficiency 34.8%、KernelBench Hard 28.8% 和 MCP Atlas 74.2%，并称 MiniMax Sparse Attention 可将上下文扩展到 1M。权重与技术报告约 10 天后发布，同时上线 MiniMax Code（code.minimax.io），API 入口为 platform.minimax.io。
正文
Several sleepless nights later, M3 is finally here.
Coding frontier. 1M context. Native multimodal input.
The first open-weights model to bring all three together.
Hope you all like it 😎
p.s. M3 has already submitted a lot of PRs into MiniMax Code.
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在 X 查看被引用的帖子
来源：@SkylerMiao7 · x.com