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Model details

GLM-4.7 (Cerebras)

GLM-4.7 belongs to Z.ai’s GLM family, developed by Beijing Zhipu Huazhang Technology. The supplied evidence describes it as a Mixture-of-Experts model with approximately 358 billion parameters, indicating a large architecture that routes work through specialized expert components rather than activating every parameter for each request.

As an open-weight text model, GLM-4.7 is suited to deployments that need advanced language generation alongside reasoning and tool-driven workflows. Its scale and sparse expert design make it most relevant for organizations with substantial compute resources, while the open weights support customization and self-managed experimentation; the supplied material does not establish benchmark-leading performance or gains over sibling models.

LLM Gatewaycerebras/glm-4.7glm

Quick Info

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Provider
LLM Gateway
Model key
cerebras/glm-4.7
Release date
Dec 22, 2025
Last updated
Dec 22, 2025
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.25
Output token cost
$2.75

Limits

Output tokens
128,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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