MiniMax-M1开源：全球首个大规模混合架构推理模型
近日，MiniMax公司宣布推出其全新模型MiniMax-M1，该模型作为世界上首个开源的大规模混合架构推理模型，在面向生产力的复杂场景中展现出了卓越性能，成为开源模型中的佼佼者。MiniMax-M1不仅超越了国内闭源模型，还接近了海外最领先模型的水平，同时保持着业内最高的性价比。
MiniMax-M1的一个显著特点是支持高达100万的上下文输入，与闭源模型Google Gemini2.5Pro相当，是DeepSeek R1的8倍，并且能够输出长达8万Token的推理结果。这一成就得益于MiniMax独创的以闪电注意力机制为主的混合架构，使得在处理长上下文输入和深度推理时效率显著提升。例如，在使用8万
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