MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
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MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,. It is published by MiniMax and catalogued here from OpenRouter.
MiniMax: MiniMax M2 accepts up to 204.8K tokens of context and returns up to 131.072K output tokens.
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