MiMo-V2.5-Pro is a flagship Mixture-of-Experts model that Xiaomi built to tackle some of the most demanding problems in artificial intelligence. With a total of 1.02 trillion parameters but only 42 billion active parameters at any given time, the architecture balances raw capability with computational efficiency. The model runs on a hybrid-attention design and supports an extraordinarily long context window of up to one million tokens, enabling it to maintain logical consistency across extended sessions and follow complex, multi-step instructions that unfold over many turns. It was designed from the ground up for agentic workflows, picking up on implicit requirements embedded in context and staying coherent over long horizons.
The lineage traces back to the MiMo-V2-Pro predecessor, with meaningful gains in general-purpose agent tasks, complex software engineering, and extended execution. Benchmark results place it alongside the world's top closed models, with particularly strong showings on software engineering benchmarks like SWE-bench Pro and coding assessments. Its open-weight availability and day-zero optimization for AMD Instinct GPUs running ROCm 7 software make it straightforward to deploy at scale. Enterprises have found it well-suited for large-scale code generation, deep data analysis, and integration with agent frameworks such as OpenClaw and Claude Code. By delivering competitive performance at roughly half the operational cost of comparable frontier models, it opens up high-capability AI to teams that need strong results without premium pricing.
