మిమో v2.6 Pro

MiMo V2.6 Pro is Xiaomi's flagship sparse mixture-of-experts model, with 1.02 trillion total and 42 billion active parameters. It is designed for demanding agentic work, including long-horizon coding and multi-tool workflows, and supports a million-token context. Image inputs are available through the hosted endpoint.

Xiaomi presents Pro as its strongest V2.6 model, developed through expanded reinforcement learning. The launch describes research assistance alongside coding, including computational materials screening and mathematical formalization with human guidance.

These examples are useful because they expose the difference between proposing an answer and checking one. A simulation needs validated assumptions; a mathematical result needs a proof checker; a research suggestion needs expert scrutiny. Choose the model as one participant in that process rather than treating generated prose as the final result.

Xiaomi acknowledges a remaining gap to the strongest closed models. Its materials example also stops at candidates for physical experiments. The release is a case for assisted exploration, with external validation still deciding which results deserve confidence.