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Zhipu AI (Z.ai)

GLM 4.7

Benchmarks, price, context and versions

Also searched as

GLM-4.7

Direct answer: GLM 4.7 is a model from Zhipu AI (Z.ai). 83.3% on GPQA Diamond, per Epoch AI. On OpenRouter, US$ 0.60 per 1 million input tokens and US$ 2.20 per 1 million output tokens.

✓ Good for

  • running on your own infrastructure (open weights)

✕ Not the best for

  • answering short facts with little invention (#63 of 87 on SimpleQA Verified)
  • technical reasoning as the model appears through the API (#77 of 135 on GPQA Diamond (OpenRouter))

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

GPQA Diamond

?what it is
83.3%

highest score on this metric 96.4%

81º / 198 · Epoch AI, latest version we checked

OTIS Mock AIME

?
83.3%

highest score on this metric 100%

85º / 186 · Epoch AI, latest version we checked

SimpleQA Verified

?
32.2%

highest score on this metric 94%

63º / 87 · Epoch AI, latest version we checked

GPQA Diamond (OpenRouter)

?
83.8%

highest score on this metric 96.5%

77º / 135 · OpenRouter Benchmarks, latest version we checked

τ-bench Verified (airline)

?
76%

highest score on this metric 82%

42º / 131 · OpenRouter Benchmarks, latest version we checked

Key specs

Origin
China
Family
GLM provisional data
Weights?
open
License
mit
Input US$/1M?
US$ 0.60
Output US$/1M
US$ 2.20
Context?
204,800 tokens
Parameters
358,337,791,296
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
47,416
Use cases provisional data
Text Agents
Dates in sources
  • 2025, published, per Epoch AI
  • 2025, listed on OpenRouter
  • 2025, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is GLM 4.7?

GLM 4.7 is a model from Zhipu AI (Z.ai), with open weights, used for text, agents.

How much does GLM 4.7 cost?

On OpenRouter, US$ 0.60 per 1 million input tokens and US$ 2.20 per 1 million output tokens.

What is the context window of GLM 4.7?

204,800 tokens, per OpenRouter.

Is GLM 4.7 open source?

Yes, it has open weights. License: mit.

What is GLM 4.7's GPQA Diamond score?

83.3% on GPQA Diamond, per Epoch AI.

Is GLM 4.7 good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made GLM 4.7?

It was made by Zhipu AI (Z.ai), a lab from China.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from Zhipu AI (Z.ai)

See lab

Sources

  • Epoch AI, CC BY 4.0, latest version we checked.
  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, 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.