MiMo-V2.5
Xiaomi's flagship model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
MiMo-V2.5 is a high-performance open-weight model that ranks 5th out of 85 evaluated models. Its primary technical advantage is its versatility in complex reasoning and structural tasks, achieving perfect 5/5 internal scores in strategic analysis, creative problem solving, and structured output. This makes it particularly effective for developers building autonomous agents or complex data pipelines that require strict formatting.
The model handles massive datasets efficiently with a 1.0M token context window and a perfect long-context score. At a blended cost of $1.60 per million tokens, it offers a competitive price-to-performance ratio for a model of this rank, especially given its open-weight availability which allows for local deployment and fine-tuning.
Performance is inconsistent in simpler discriminative tasks. While it excels at generative and analytical work, it shows a relative weakness in classification, scoring only 3/5. It is also slightly less proficient in constrained rewriting and tool calling compared to its top-tier reasoning capabilities.
Use this model if you need an open-weight solution for agentic planning, multilingual strategic analysis, or processing very large documents. Skip this model if your primary use case is high-accuracy text classification or rigid constrained rewriting.
Strengths — Top 3
Relative weaknesses — Bottom 3
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