Minimax 2.1
About this model
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency. Compared to its predecessor, M2.1 delivers cleaner, more concise outputs and faster perceived response times. It shows leading multilingual coding performance across major systems and application languages, achieving 49.4% on Multi-SWE-Bench and 72.5% on SWE-Bench Multilingual, and serves as a versatile agent “brain” for IDEs, coding tools, and general-purpose assistance. 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](https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks).
Performance Tier
Minimax 2.1 is a compact model from Minimax : optimized for speed and affordability.
Small, fast, and affordable. Optimized for speed and low cost, great for high-volume or simple tasks.
Pricing
This model is included in Elosia plans| Type | per 1M tokens |
|---|---|
| Input (prompt) | $0.270 |
| Output (completion) | $0.950 |
| Cache read | $0.029 |
Capabilities
Benchmarks
Recommended Use Cases
Strengths
- Good general-purpose model with strong creative abilities
- Competitive pricing for its capability level
- Supports long context for document analysis
Limitations
- Less well-known with smaller community and ecosystem
- Limited documentation and integration options
Resources
This model may use your data for training
