GPQA Diamond
?what it ishighest score on this metric 96.4%
29º / 198 · Epoch AI, latest version we checked
GLM-5.2
Benchmarks, price, context and versions
Also searched as
GLM 5.2, glm-5.2 free, glm-5.2 pricing, glm-5.2 size
Direct answer: GLM-5.2 is a model from Zhipu AI (Z.ai). 91.9% on GPQA Diamond, per Epoch AI.
✓ Good for
- technical reasoning on science topics (#29 of 198 on GPQA Diamond)
- fixing bugs in real code (#4 of 32 on SWE-bench Verified)
- agents that follow rules and use tools (#32 of 131 on τ-bench Verified (airline))
- very long documents or code (a window of 1 million tokens or more, according to OpenRouter)
- running on your own infrastructure (open weights)
✕ Not the best for
- answering short facts with little invention (#58 of 87 on SimpleQA Verified)
This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.
Benchmarks
OTIS Mock AIME
?highest score on this metric 100%
77º / 186 · Epoch AI, latest version we checked
FrontierMath (tiers 1 to 3)
?highest score on this metric 95.1%
42º / 86 · Epoch AI, latest version we checked
SimpleQA Verified
?highest score on this metric 94%
58º / 87 · Epoch AI, latest version we checked
SWE-bench Verified
?highest score on this metric 83.5%
4º / 32 · Epoch AI, latest version we checked
GPQA Diamond (OpenRouter)
?highest score on this metric 96.5%
45º / 135 · OpenRouter Benchmarks, latest version we checked
τ-bench Verified (airline)
?highest score on this metric 82%
32º / 131 · OpenRouter Benchmarks, latest version we checked
Key specs
Version history
- GLM-5.3-Flash-BF16 Hugging Face Hub, Hugging Face repo created
- GLM-5.3-BF16 Hugging Face Hub, Hugging Face repo created
- GLM-5.3 Hugging Face Hub, Hugging Face repo created
- GLM-5.3-Flash Hugging Face Hub, Hugging Face repo created
- GLM-5.2-FP8 Hugging Face Hub, Hugging Face repo created
- GLM-5.2 Hugging Face Hub, Hugging Face repo created
- GLM-5.1-FP8 Hugging Face Hub, Hugging Face repo created
- GLM-5.1 Hugging Face Hub, Hugging Face repo created
- GLM-5 Hugging Face Hub, Hugging Face repo created
- GLM-5-FP8 Hugging Face Hub, Hugging Face repo created
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.
FAQ
How much does GLM-5.2 cost?
On OpenRouter, US$ 0.007 per 1 million input tokens and US$ 6.80 per 1 million output tokens. odd value in the source, under review.
Is GLM-5.2 open source?
Yes, it has open weights. License: no data.
What is GLM-5.2?
GLM-5.2 is a model from Zhipu AI (Z.ai), with open weights, used for text, agents, code.
What is the context window of GLM-5.2?
1,048,576 tokens, per OpenRouter.
What is GLM-5.2's GPQA Diamond score?
91.9% on GPQA Diamond, per Epoch AI.
Is GLM-5.2 good for coding?
It scores 78.7% on SWE-bench Verified, per Epoch AI.
Who made GLM-5.2?
It was made by Zhipu AI (Z.ai), a lab from China.
provisional data Questions ordered by what shows up in public Google search suggestions (no volume). Answers use source data only.
Models from Zhipu AI (Z.ai)
Sources
- Epoch AI, CC BY 4.0, latest version we checked.
- OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.
- OpenRouter Benchmarks, CC BY 4.0, latest version we checked.
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.