Summary

MiniMax M2.1 is a state-of-the-art agentic model designed to break the barriers of high-performance artificial intelligence by making advanced capabilities accessible to the open-source community. This release is not merely a parameter update but a major leap forward in democratizing top-tier agentic functions, allowing developers to leverage powerful tools for coding, tool use, instruction following, and long-horizon planning. The model is engineered to be robust, transparent, and controllable, making it ideal for automating multilingual software development and executing complex, multi-step office workflows.

Key Features

Open-source model weights for local deployment
Robust coding and tool use capabilities
Optimized for instruction following and long-horizon planning
Supports multilingual software development automation
Transparent and controllable agentic functions
API access via MiniMax Open Platform
Publicly available MiniMax Agent product
Comprehensive documentation and integration guides

About MiniMax M2.1


MiniMax M2.1 stands out for its ability to empower developers to build the next generation of autonomous applications, providing full transparency and control over its functions. The model is optimized for a wide range of scenarios, from automating software development across multiple languages to streamlining intricate office tasks. Its open-source nature means that developers can deploy it locally, customize its behavior, and integrate it into their own projects with ease, ensuring that top-tier intelligence is within reach for everyone.


The MiniMax M2.1 API is now available on the MiniMax Open Platform, and the product MiniMax Agent, built on this model, is publicly accessible. The model weights are open-source and can be found on HuggingFace, enabling local deployment and use. Comprehensive documentation and guides are provided to support integration and deployment, making it straightforward for developers to harness the full potential of MiniMax M2.1 in their workflows and applications.

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