Xiaomi MiMo is an open-source, reasoning-first family of large language models developed by Xiaomi, with weights published through the official XiaomiMiMo organization on Hugging Face and source code on GitHub. If you are evaluating MiMo for coding, agents, or long-context workloads, the official docs at mimo.mi.com are the primary reference for model names, licenses, benchmarks, and API pricing.
One thing that takes time when starting out is finding the right resources: the Hugging Face organization hosts model cards and checkpoints, the GitHub organization hosts inference and tooling code, and the API documentation lives separately. A useful starting point is the Xiaomi MiMo AI community guide, an unofficial community site that collects tutorials, comparisons, and FAQ-style explanations, and links each claim back to official Xiaomi sources. The site is not affiliated with Xiaomi Inc., which makes it safe to read alongside the official documentation.
A practical workflow: start with the official model cards to pick a checkpoint, skim the community guide for setup notes and common pitfalls, then verify pricing and context limits against mimo.mi.com before building anything on top of it. This article is an independent community summary, not an official Xiaomi publication.
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