Xiaomi: MiMo-V2-Flash
xiaomi's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
MiMo-V2-Flash is positioned as a high-reliability model for complex logic and structured data tasks. It achieves perfect 5/5 scores in structured output, strategic analysis, faithfulness, and agentic planning, making it a strong candidate for autonomous workflows and rigorous data extraction. Its 262K context window is fully utilized, as evidenced by a 5/5 score in long context performance.
At a blended cost of $0.250 per million tokens, the model is highly economical relative to its performance rank. Ranking 18th out of 85 models while maintaining a 4.50 average internal score suggests a high efficiency-to-cost ratio, providing near-frontier capabilities at a fraction of the cost of premium proprietary models.
The model struggles with nuanced linguistic constraints and categorization. Scores of 3/5 in classification and constrained rewriting indicate that it may fail to adhere to strict formatting rules during text transformation or struggle with high-granularity labeling tasks.
Use this model for agentic orchestration, long-document analysis, and applications requiring strict adherence to structured schemas. Skip this model if your primary use case is precise text rewriting or complex classification.
Strengths — Top 3
Relative weaknesses — Bottom 3
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