MiniMax M2

MiniMax M2 by MiniMax excels in the Coding category, where it ranks #82 with a composite score of 54/100. 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](https://artificialanalysis.ai/models/minimax-m2), 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](https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks). It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

MiniMax M2 is priced at $0.26 per million input tokens and $1.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, MiniMax M2 holds rank #82 out of 6 models tracked. Its quality rank is #82 and adoption rank is #82. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

MiniMax M2 has been evaluated across 6 different signals. Its strongest areas include Capabilities (57/100), Context Window (84/100), Output Capacity (88/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 54/100 reflects a weighted combination of all tracked signals.

MiniMax M2 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check MiniMax's website for current free tier availability and promotional offers.