GLM-5.2

z-ai

Cross-checked

B+
Coding Index
100.32
Coding tier
B+
Context
1,048,576
Input Price
$0.06
per 1M tokens
Output Price
$7
per 1M tokens

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

OpenRouter quote 2026-10-11

Capabilities & Recommended Uses

Strengths

  • •Good bilingual coding support
  • •Affordable pricing
  • •Strong in Chinese tech ecosystem
  • •Decent at common coding tasks

Best For

  • •Chinese market
  • •Bilingual development
  • •Budget coding
  • •Web apps

Weaknesses

  • •Less competitive on hard benchmarks
  • •Limited English documentation
Benchmark evidence and ranking method · GLM-5.2

Cross-checked

Artificial Analysis · GLM-5.2 (max)

Test configuration: max

Terminal-Bench 2.1: 77.90% · SciCode: 51.16%

LiveBench · 2026-06-25 · glm-5.2

Coding: 79.65% · Agentic Coding: 51.77%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

Compare with Alternatives

GLM-5.2 vs DeepSeek V4 Flash 0731 (B+) → GLM-5.2 vs DeepSeek V4 Pro 0813 (B+) → GLM-5.2 vs Claude Fable 5 (S) → GLM-5.2 vs Claude Fable 5.1 (S+) →

Related Analysis & Reviews

GLM-5.2 Review: Can Zhipu AI's Latest Model Compete with Claude and GPT?

GLM-5.2 scores 89.89 on our coding benchmark — higher than Claude Sonnet 4.6 and DeepSeek V4 Pro. We test Zhipu AI's flagship model on real coding tasks, bilingual performance, and value for money.

Frequently Asked Questions

What is GLM-5.2's coding score and ranking tier?

GLM-5.2 by z-ai is rated as Tier B+ on ModelRank with a coding score of 100.32 (Reference baseline = 100) as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.

What is the API pricing and context window for GLM-5.2?

GLM-5.2 features a 1,048,576 token context window. Pricing is $0.06 per 1M input tokens and $7 per 1M output tokens (OpenRouter quote).

What programming tasks is GLM-5.2 best suited for?

GLM-5.2 is recommended for: Chinese market, Bilingual development, Budget coding, Web apps. Key strengths include: Good bilingual coding support, Affordable pricing, Strong in Chinese tech ecosystem, Decent at common coding tasks.

Try GLM-5.2

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Last updated: October 11, 2026