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MiniMax M3.1 FlashOPEN
MiniMax-M3.1-Flash is a multimodal model from MiniMax.
Prices update automatically — checked daily against provider list prices.
- $0.26 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 53% of the 200 open-weight models tracked here
- 1 of 9 MiniMax models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for MiniMax M3.1 Flash, measured by Artificial Analysis. Higher is better.
For the same budget, MiniMax M3.1 Flash delivers 15 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.76 per 1M tokens (median of 6) — this one costs $0.26.
Cheaper and better on this index: Claude Haiku 5.5 · Claude Haiku 5.5 (batch)
About this model
MiniMax M3.1 Flash 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 daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is MiniMax M3.1 Flash?
MiniMax M3.1 Flash 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 28.9 on the Artificial Analysis intelligence index.
Is MiniMax M3.1 Flash free?
The weights are free and open — you can self-host MiniMax M3.1 Flash and pay nothing per token. If you prefer a hosted API, list prices are $0.15 per million input tokens and $0.6 per million output tokens.
What is MiniMax M3.1 Flash good at?
Independent benchmarks from Artificial Analysis give it Humanity's Last Exam 48%, Long Context Reasoning 79.7%, SciCode 53.4%.
How fast is MiniMax M3.1 Flash?
It generates about 103.1 tokens per second, with a median 0.88s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host MiniMax M3.1 Flash?
Yes. MiniMax M3.1 Flash 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.