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MiniMax M3 Released, a Multimodal and Long-Context Open-Weight Model

MiniMax introduced M3, an open-weight model with frontier-level performance in coding and agentic tasks. It features a 1 million token context window enabled by a new sparse attention architecture called MSA, and is natively multimodal. M3 surpasses GPT-5.5 and Gemini 3.1 Pro on coding benchmarks like SWE-Bench Pro and demonstrates advanced autonomous iteration capabilities, independently optimizing code for a significant speedup in a complex task.

Why it matters

M3 brings advanced multimodal and ultra-long context capabilities to the open-weight community, previously only available in closed-source models. Its significant performance in coding and agentic tasks could accelerate development in these areas.

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