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MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model


MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. - MiniMax-AI/MiniMax-M1

MiniMax-M1 is trained using large-scale reinforcement learning (RL) on diverse problems ranging from traditional mathematical reasoning to sandbox-based, real-world software engineering environments. With efficient scaling of test-time compute, MiniMax-M1 serves as a strong foundation for next-generation language model agents to reason and tackle real-world challenges. Benchmark performance comparison of leading commercial and open-weight models across competition-level mathematics, coding, software engineering, agentic tool use, and long-context understanding tasks.

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