About This Site
This is a fan / community site. It is not affiliated with, endorsed by, or sponsored by Xiaomi Inc. or any of its affiliates. All trademarks, service marks, and company names belong to their respective owners. This site is independently operated for informational and educational purposes.
Our Mission
Xiaomi MiMo is one of the most interesting open-weight LLM families to emerge in 2025-2026 β yet most of the English-language documentation, tutorials, and analysis has been scattered across forums, Chinese-language blogs, and Xiaomi's own API docs (which are primarily in Chinese).
This site exists to bridge that gap. We provide:
- Model information β specs, benchmarks, download links for every MiMo model
- Technical tutorials β API integration, MiMo Code setup, deployment guides
- In-depth analysis β architecture breakdowns, competitive comparisons, research reports
- Hands-on tools β an interactive chat demo that runs against the live MiMo API
What Makes MiMo Different?
Several things set MiMo apart in the crowded open-weight LLM space:
- True MIT licensing β no additional terms, no commercial restrictions. Just open.
- Edge-first design β INT4 quantization, on-device deployment, and MoE efficiency make MiMo uniquely deployable outside the cloud.
- Reasoning-first architecture β purpose-built for agentic tasks, tool use, and multi-turn interaction, not just instruction following.
- Human Β· Car Β· Home ecosystem β Xiaomi's device footprint means MiMo powers tens of millions of real-world endpoints.
What's Here
- Homepage β full model family overview, benchmarks, and interactive chat demo
- Blog β articles on MiMo Code, V2.5 series, competitive analysis, deployment guides
- Tutorials β step-by-step guides for API integration, MiMo Code quickstart, and Claude Code setup
- FAQ β answers to common questions about licensing, pricing, models, and deployment
- Research Report β deep technical dive into MiMo's architecture, benchmarks, and ecosystem
Editorial Standards
Content on this site is researched and written by AI/ML enthusiasts in the developer community. We prioritize:
- Accuracy β all benchmark results and technical claims are sourced from official Xiaomi publications, HuggingFace model cards, or GitHub repositories
- Transparency β sponsored content and affiliate links are clearly marked
- Currency β we regularly update pages to reflect new model releases, pricing changes, and API updates
Community & Contributions
This site is open source. Content contributions, corrections, and suggestions are welcome via the GitHub repository. You can:
- Open an issue for corrections or suggestions
- Submit a pull request with improved content
- Participate in repository discussions
All site content is published for informational and educational purposes.
Contact
Reach us through the project repository at github.com/XiaomiMiMo/xiaomi-mimo-ai.com.