Question 1

What is the cost of GLM-4.7 by Synthetic?

Accepted Answer

GLM-4.7 by Synthetic costs $0.45 per 1M input tokens and $2.19 per 1M output tokens. Cached reads cost $0.45 per 1M tokens.

Question 2

What is the context window of GLM-4.7 by Synthetic?

Accepted Answer

GLM-4.7 by Synthetic has a context window of 203K tokens. It supports up to 203K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of GLM-4.7 by Synthetic?

Accepted Answer

GLM-4.7 by Synthetic 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 Synthetic accepts text as input and can generate text as output.

Question 5

Does GLM-4.7 by Synthetic support reasoning?

Accepted Answer

Yes, GLM-4.7 by Synthetic supports advanced reasoning capabilities.

Question 6

Is GLM-4.7 by Synthetic open source?

Accepted Answer

Yes, GLM-4.7 by Synthetic 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 Synthetic 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 Synthetic 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)