models/kwaipilot/kat-coder-pro-v2
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kwaipilot·active

Kwaipilot: KAT-Coder-Pro V2

kwaipilot's mid-tier model. Context window: 256K tokens.

Overall score
4.23
/5.00 · ranked #71
Input
$0.300
per 1M tokens
Output
$1.20
per 1M tokens
Context
256K
tokens
Blended
$0.975
3:1 out:in ratio

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Scores by test

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

What you need to know

KAT-Coder-Pro V2 is optimized for high-precision technical execution, specifically in structured output, tool calling, and strategic analysis. With perfect 5/5 scores in these areas, the model is designed for reliability in programmatic environments where strict adherence to schema and agentic tool integration are critical. Its strong performance in multilingual tasks and persona consistency further supports its use in complex, multi-step technical workflows.

The model provides a significant context window of 256K tokens, though its 4/5 score in long context indicates some degradation as it nears the limit. Performance is inconsistent in data manipulation and restrictive editing, with 3/5 scores in tabular data, classification, and constrained rewriting. These weaknesses suggest the model may struggle with precise data extraction from tables or strict character-count constraints.

At a blended cost of $0.975/MTok, the model is priced as a mid-tier option. Given its rank of 58 out of 105 and an average internal score of 4.23, it offers a balanced trade-off between cost and capability, providing high-end tool use and structured output without the premium pricing of top-tier frontier models.

Use this model if you are building autonomous agents, complex tool-calling pipelines, or applications requiring strict JSON/structured outputs. Skip this model if your primary use case involves heavy tabular data analysis, precise text classification, or rigid rewriting constraints.

Strengths — Top 3

Structured Output5.0/5.0
Strategic Analysis5.0/5.0
Tool Calling5.0/5.0

Relative weaknesses — Bottom 3

Constrained Rewriting3.0/5.0
Classification3.0/5.0
Tabular Data3.0/5.0

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