MiMo-V2.5-Pro is Xiaomi's flagship model aimed squarely at long-running agentic work and complex software engineering. Xiaomi describes it as having a trillion total parameters with only 42B activations, paired with a 1M-token context window that lets it ingest entire codebases or extended multi-day task histories without losing track. The architecture is positioned for efficiency rather than brute-force scale, and independent coverage credits it with tying for the top spot among open-weights models on the Artificial Analysis Intelligence Index with a score of 54. Open weights are published on Hugging Face, giving teams the option to self-host or fine-tune while still accessing the same model through hosted APIs.
In practice, the model is tuned for tasks that would occupy a human expert for days or even weeks, autonomously chaining more than a thousand tool calls while navigating agent frameworks. Xiaomi itself frames its high-intensity agent performance as comparable to Claude Opus 4.6, and third-party reporting echoes that positioning. With tool calling, structured output, and temperature control already wired in, it drops cleanly into agent pipelines that need deep reasoning over very large inputs, from repository-scale refactors and multi-step research workflows to long-horizon planning where retaining earlier context matters more than raw per-token cost.
