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Model details

GLM-4.7 (Vertex AI (OpenAI-compatible))

GLM-4.7 belongs to Z.AI's GLM-4.7 Series, a generation of chat-oriented language models that Z.AI describes as upgraded in two specific areas: enhanced programming capabilities and more stable multi-step reasoning and execution. The series framing emphasizes practical agent workflows, where the model is meant to carry out complex, multi-step tasks more reliably while keeping conversational responses natural. Z.AI also highlights improved front-end aesthetics as part of the generation's goal, suggesting attention to the quality of generated user-interface code and presentations alongside raw reasoning gains. Within the series, GLM-4.7 itself is positioned by Z.AI as a lightweight, high-speed, and affordable option, distinguishing it from the Flash and FlashX siblings documented on the same page.

For everyday use, GLM-4.7 is a text-in, text-out model that Z.AI documents with a 200K-token context window and a maximum output of the cataloged API limit tokens, which makes it well suited to long-form coding sessions, repository-scale reasoning, and multi-turn agent loops that need to keep large amounts of code or documentation in view. The series-level capability list from Z.AI points to thinking modes for different scenarios, real-time streaming output for interactive applications, and function calling for integrating with external tools, all of which align with the model being used as the reasoning engine inside agentic coding setups. Practically, this profile fits developers who want a responsive general-purpose model for programming help, agent orchestration, and conversational assistants where stable multi-step execution matters more than maximum raw scale.

LLM Gatewayvertex-openai/glm-4.7glm

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Provider
LLM Gateway
Model key
vertex-openai/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
$0.60
Output token cost
$2.20

Limits

Output tokens
128,000 tokens
Context window
202,752 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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