by 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 $0.29 per million input tokens and $1.15 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.