New models are coming out thick and fast, almost on a weekly cadence, ranging from the powerful proprietary systems coming out of the major US AI labs to the more open alternatives being released by some of China’s biggest tech companies.

On Tuesday alone, Anthropic debuted Claude Opus 5.5, while OpenAI launched GPT-6 Sol and Luna, each accompanied by their the usual claims about how they outperform their rivals. Amidst all the hullabaloo of the frontier-model frenzy, however, Xiaomi also debuted MiMo-V2.6, another powerful open model from one of China’s growing ranks of AI developers.

All the initial headline numbers look pretty promising, too. The flagship MiMo-V2.6-Pro is a trillion-parameter model, with 42 billion parameters active at a time, a one-million-token context window, and support for text, images, audio and video. Broadly speaking, that puts it in the same frontier territory as the latest models from OpenAI and Anthropic: GPT-6 Sol has a 1.05-million-token context window, while Claude Opus 5.5 has a one-million-token window, though neither company discloses comparable parameter counts.

Xiaomi, for its part, makes broad claims of frontier-level performance across coding, agentic tasks, cybersecurity, multimodal work and research. Independent analysis lends some weight to those claims –Artificial Analysis gives MiMo-V2.6-Pro an Intelligence Index score of 46, ranking it first among the 114 large open-weight models it tracks.

So far, so good. But arguably the bigger story in Xiaomi’s offering is the manner in which it trained the model, how much of that process it showed in public, and what it’s releasing afterward.

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