Now a legacy model, it still suits developers wanting cheap API coding help or free open weights to run themselves.
Kenning's take
What it does
MiniMax M2.5 is a large language model from the Chinese company MiniMax, trained with reinforcement learning across hundreds of thousands of real-world environments. MiniMax reports 80.2% on SWE-Bench Verified and says it plans a project like a software architect before writing code. It is available through the MiniMax API, in MiniMax's own agent product, and as downloadable weights on Hugging Face; MiniMax now lists it as a legacy model after M2.7 and M3.
- 80.2% on SWE-Bench Verified (MiniMax figure)
- Trained on 10+ programming languages
- Search and tool calling for agent tasks
- Faster -highspeed API variant
- Open weights on Hugging Face
Who it suits. Developers building coding agents and automated workflows who want a low-cost model they can also self-host.
Key facts
- Category
- AI models
- Made by
- MiniMax
- Based in
- China
- Released
- 12 February 2026
- How to get it
- through the MiniMax API (pay as you go or a coding plan), in the MiniMax Agent app, and as open weights on Hugging Face under a modified MIT licence
- Works on
- API, Web, self-hosted
- Free plan
- Open weights are a free download
- API price
- $0.30 per million input tokens, $1.20 per million output; highspeed variant $0.60 input, $2.40 output
FAQ
When was MiniMax M2.5 released?
MiniMax announced M2.5 on 12 February 2026.
Is MiniMax M2.5 open source?
Its weights are on Hugging Face under a modified MIT licence.
How much does the MiniMax M2.5 API cost?
$0.30 per million input tokens and $1.20 per million output tokens.
Facts from the maker's own pages and the sources listed. Checked 2026-10-11.
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