Why developers choose MiniMax M2.5
Top performance and completely free in Kilo Code
Top-Tier Performance
M2.5 achieves state-of-the-art results on coding and reasoning benchmarks, rivaling the best frontier models.
Next-Gen Reasoning
Advanced reasoning capabilities for complex problem-solving, code analysis, and multi-step tasks.
Fast Inference
Optimized architecture for rapid response times. Get answers quickly without sacrificing quality.
Open Weights Coming
MiniMax typically releases open weights for their models. Expect M2.5 weights on HuggingFace soon.
Trusted by developers at the world's most innovative companies
Popular MiniMax models in Kilo Code
Choose from multiple MiniMax models to fit your needs and budget
MiniMax M2.5
The latest state-of-the-art model from MiniMax with exceptional reasoning and coding capabilities. Top performance on benchmarks, completely free in Kilo. MiniMax will release open weights for M2.5 in the future.
- SOTA performance
- Enhanced reasoning
- Fast inference
- Open weights coming
MiniMax M2.1
Competitive performance on practical coding benchmarks. Reliable for production use cases at a fraction of frontier model costs.
- Cost-effective
- Production-ready
- Strong coding
- Reliable
MiniMax M1-80k
Long context model with 80K context window and advanced chain-of-thought reasoning. Excellent for complex multi-step tasks.
- 80K context
- Chain-of-thought
- Complex tasks
- Deep reasoning
About MiniMax
MiniMax is a leading Chinese AI company founded in 2022, backed by major investors including Alibaba, Tencent, and HongShan. With over 200 million users globally, MiniMax specializes in large language models and multi-modal AI technology.
Their open-weight releases, including the M2 series and M1 models, have gained recognition for competitive performance on coding and reasoning benchmarks. MiniMax is committed to making advanced AI accessible to developers worldwide.
Agentic Engineering
Glide through your workflow with a mode for every step
Ask mode
A knowledgeable technical assistant focused on answering questions without changing your codebase
Frequently Asked Questions
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