Z.AI: GLM 4.7 Flash

z-ai/glm-4.7-flash

Created Jan 19, 2026200,000 context

$0.07/M input tokens$0.40/M output tokens

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.

Providers for GLM 4.7 Flash

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for GLM 4.7 Flash

Compare different providers across OpenRouter

Apps using GLM 4.7 Flash

Top public apps this month

Recent activity on GLM 4.7 Flash

Total usage per day on OpenRouter

Prompt

42.6M

Reasoning

8.83M

Completion

1.6M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for GLM 4.7 Flash

Uptime stats for GLM 4.7 Flash across all providers

Sample code and API for GLM 4.7 Flash

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.