MiniMax: MiniMax M1
minimax/minimax-m1Description
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it to process long sequences—up to 1 million tokens—while maintaining competitive FLOP efficiency. With 456 billion total parameters and 45.9B active per token, this variant is optimized for complex, multi-step reasoning tasks.
Trained via a custom reinforcement learning pipeline (CISPO), M1 excels in long-context understanding, software engineering, agentic tool use, and mathematical reasoning. Benchmarks show strong performance across FullStackBench, SWE-bench, MATH, GPQA, and TAU-Bench, often outperforming other open models like DeepSeek R1 and Qwen3-235B.
Specifications
Pricing
| Type | Price / 1M tokens |
|---|---|
| Input | $0.40 |
| Output | $2.20 |
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-m1",
"messages": [{"role": "user", "content": "Hello!"}]
}'