Question 1

What is the cost of GLM-4.7 by Zhipu AI Coding Plan?

Accepted Answer

GLM-4.7 by Zhipu AI Coding Plan costs Free per 1M input tokens and Free per 1M output tokens. Cached reads cost Free per 1M tokens. Cache writes cost Free per 1M tokens.

Question 2

What is the context window of GLM-4.7 by Zhipu AI Coding Plan?

Accepted Answer

GLM-4.7 by Zhipu AI Coding Plan has a context window of 205K tokens. It supports up to 205K input tokens and can generate up to 131K output tokens.

Question 3

What are the capabilities of GLM-4.7 by Zhipu AI Coding Plan?

Accepted Answer

GLM-4.7 by Zhipu AI Coding Plan supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does GLM-4.7 support?

Accepted Answer

GLM-4.7 by Zhipu AI Coding Plan accepts text as input and can generate text as output.

Question 5

Does GLM-4.7 by Zhipu AI Coding Plan support reasoning?

Accepted Answer

Yes, GLM-4.7 by Zhipu AI Coding Plan supports advanced reasoning capabilities.

Question 6

Is GLM-4.7 by Zhipu AI Coding Plan open source?

Accepted Answer

Yes, GLM-4.7 by Zhipu AI Coding Plan has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does GLM-4.7 support function calling?

Accepted Answer

Yes, GLM-4.7 by Zhipu AI Coding Plan supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 8

What is the knowledge cutoff date for GLM-4.7?

Accepted Answer

GLM-4.7 by Zhipu AI Coding Plan has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

GLM-4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

GLM-4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)