Context
200K
Input
text
Output
text
Tool calling
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
Published evaluation results associated with this model.
SWE-bench
SWE-bench Verified80.2
Multi-SWE-bench51.3
SWE-bench Multilingual76.5
Coding
VIBE-Pro (Droid)79.7
VIBE-Pro (OpenCode)76.1
Search
BrowseComp76.3
API example
curl https://api.oneinfer.ai/v1/ula/chat/completions \
-H "Authorization: Bearer $JWT_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"model": "MiniMaxAi/MiniMax-M2.5",
"messages": [
{ "role": "user", "content": "Hello!" }
]
}'