MiniMax: MiniMax M2.5
200K
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text
Supported
About this model
MiniMax M2.5 is an open-source MoE model with 230B total parameters (10B active) and a 200K token context window, released February 2026 under a Modified MIT license. SOTA in coding, agentic tool use, search, and office work — scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp. Trained across 200K+ real-world RL environments in 10+ programming languages.Matches Claude Opus 4.6 speed while completing SWE-Bench 37% faster than M2.1.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.300 / 1M tokens |
| Output tokens | $1.200 / 1M tokens |
| Cached input tokens | $0.060 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
- • Optimized for unified API inference
- • High prompt fidelity across structured outputs
General inference, enterprise agent workflows, and conversational pipelines.
Based on data from Artificial Analysis. This analysis was generated by OneInfer and does not represent the views or endorsement of Artificial Analysis.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "Minimax/minimax-m2.5", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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