MiniMax: MiniMax M2
minimax/minimax-m2Description
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency.
The model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors.
Benchmarked by Artificial Analysis, MiniMax-M2 ranks among the top open-source models for composite intelligence, spanning mathematics, science, and instruction-following. Its small activation footprint enables fast inference, high concurrency, and improved unit economics, making it well-suited for large-scale agents, developer assistants, and reasoning-driven applications that require responsiveness and cost efficiency.
To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. Learn more about using reasoning_details to pass back reasoning in our docs.
Specifications
Pricing
| Type | Price / 1M tokens |
|---|---|
| Input | $0.30 |
| Output | $1.20 |
Quick Start
curl https://api.ominigate.ai/v1/chat/completions \
-H "Authorization: Bearer sk-omg-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2",
"messages": [{"role": "user", "content": "Hello!"}]
}'