MiniMax M1

minimax/minimax-m1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

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Context window: 1M
Input: Text
Output: Text
Released: 2025-06-17

Max output: 40K
Knowledge cutoff: 2024-06-30
Weights: Closed
Capabilities: Reasoning, Temperature, Tool call

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Performance


Arena Text Overall	Blind		LMArena	2026-10-28

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ModelRegistry · Catalog updated 2026-11-05