models/xiaomi/mimo-v2-5-pro
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Xiaomi·active

MiMo-V2.5-Pro

Xiaomi's mid-tier model. Long-context specialist with 1.0M window.

Overall score
4.46
/5.00 · ranked #24
Input
$1.00
per 1M tokens
Output
$3.00
per 1M tokens
Context
1.0M
tokens
Blended
$2.50
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
4.0
Strategic Analysis
5.0
Constrained Rewriting
3.0
Creative Problem Solving
5.0
Tool Calling
5.0
Faithfulness
5.0
Classification
4.0
Long Context
5.0
Safety Calibration
3.0
Persona Consistency
5.0
Agentic Planning
5.0
Multilingual
4.0
Tabular Data
5.0

What you need to know

MiMo-V2.5-Pro is a high-performance open-weight model optimized for complex reasoning and agentic workflows. Its primary differentiator is a consistent 5/5 internal score across strategic analysis, creative problem solving, tool calling, and agentic planning. This makes it highly capable of managing multi-step autonomous tasks and logical decomposition compared to other models in its rank.

The model is built for massive data ingestion, featuring a 1.0M token context window with a perfect 5/5 score for long-context retrieval. At a blended cost of $2.50/MTok, it provides a cost-effective alternative for developers who need frontier-level reasoning and large-scale context processing without the premium pricing of closed-source proprietary models.

Performance degrades in tasks requiring strict adherence to formatting or safety guardrails, scoring only 3/5 in constrained rewriting and safety calibration. While it handles structured output reasonably well at 4/5, it is less reliable for rigid schema enforcement than it is for open-ended strategic planning.

Use this model if you are building autonomous agents, analyzing massive documents, or require high-level strategic reasoning in an open-weight format. Skip this model if your primary requirement is strict output constraint adherence or high-sensitivity safety filtering.

Strengths — Top 3

Strategic Analysis5.0/5.0
Creative Problem Solving5.0/5.0
Tool Calling5.0/5.0

Relative weaknesses — Bottom 3

Constrained Rewriting3.0/5.0
Safety Calibration3.0/5.0
Structured Output4.0/5.0

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