minimax-m2 · Minimax
MiniMax-M2 redefines efficiency for intelligent agents. It is a compact, fast, and cost-effective MoE model with a total of 230 billion parameters and 10 billion active parameters, designed for top performance in coding and intelligent agent tasks while maintaining strong general intelligence. With only 10 billion active parameters, MiniMax-M2 delivers the complex end-to-end tool usage performance expected from today's leading models, but in a more streamlined form factor, making deployment and scaling easier than ever before.
MiniMax-M2 redefines efficiency for intelligent agents. It is a compact, fast, and cost-effective MoE model with a total of 230 billion parameters and 10 billion active parameters, designed for top performance in coding and intelligent agent tasks while maintaining strong general intelligence. With only 10 billion active parameters, MiniMax-M2 delivers the complex end-to-end tool usage performance expected from today's leading models, but in a more streamlined form factor, making deployment and scaling easier than ever before.
MiniMax M2 has a 204,800 token context window.
On AIHubMix, MiniMax M2 costs $0.288 per million input tokens and $1.152 per million output tokens.
MiniMax M2 accepts text input.
MiniMax M2 supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
MiniMax M2 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to minimax-m2 — no other code changes needed.
MiniMax M2 is developed by Minimax. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use MiniMax M2 via the AIHubMix unified API — one interface for every major LLM.