models/zhipu-ai/glm-5-2
Z
Zhipu AI·active

Z.ai: GLM 5.2

Zhipu AI's flagship model. Long-context specialist with 1.0M window.

Overall score
4.85
/5.00 · ranked #2
Input
$0.950
per 1M tokens
Output
$3.00
per 1M tokens
Context
1.0M
tokens
Blended
$2.49
3:1 out:in ratio

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Scores by test

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

What you need to know

Z.ai: GLM 5.2 is a top-tier generalist model, ranking second among 110 evaluated models. Its primary differentiator is high-reliability performance across complex logic tasks, specifically achieving perfect internal scores in structured output, strategic analysis, and agentic planning. These results indicate a model capable of handling sophisticated orchestration and tool-calling workflows without the typical degradation seen in smaller or less capable models.

The model is designed for high-volume, long-context applications, supporting a 1.0M token window with a perfect score in long-context faithfulness. At a blended cost of $2.49 per million tokens, it positions itself as a premium offering. While more expensive than mid-tier models, the pricing is justified by its consistency in tabular data processing and multilingual capabilities, reducing the need for prompt engineering or multiple verification passes.

Performance is nearly uniform across the board, with only minor dips in classification and constrained rewriting. These slight weaknesses are negligible for most developers, as the model maintains a 4.85 average internal score. It effectively balances raw reasoning power with the strict adherence required for production-grade API integrations.

Use this model if you are building autonomous agents, complex data extraction pipelines, or applications requiring a massive context window with high faithfulness. Skip this model if your use case is limited to simple classification or if your budget requires a low-cost, lightweight model for basic text generation.

Strengths — Top 3

Structured Output5.0/5.0
Strategic Analysis5.0/5.0
Creative Problem Solving5.0/5.0

Relative weaknesses — Bottom 3

Constrained Rewriting4.0/5.0
Classification4.0/5.0
Structured Output5.0/5.0

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