MiniMax M2 (MiniMax): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
Independent benchmark scores for MiniMax M2, measured by Artificial Analysis. Higher is better.
MiniMax M2 is an open-weight AI model by MiniMax. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.
MiniMax M2 is an AI language model from MiniMax. It is open-weight: you can download it and run it on your own hardware, for free. It scores 28.3 on the Artificial Analysis intelligence index.
The weights are free and open — you can self-host MiniMax M2 and pay nothing per token. If you prefer a hosted API, list prices are $0.26 per million input tokens and $1.02 per million output tokens.
Independent benchmarks from Artificial Analysis give it GPQA 77.7%, MMLU-Pro 82%, Humanity's Last Exam 12.5%, Long Context Reasoning 61%, LiveCodeBench 82.6%, SciCode 36.1%, AIME 2025 78.3%, IFBench 72.3%, τ²-Bench 86.8%, Terminal-Bench Hard 25.8%. It is particularly used for mathematical reasoning.
Yes. MiniMax M2 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.