Question 1

What is the cost of GLM 4.7 by Berget.AI?

Accepted Answer

GLM 4.7 by Berget.AI costs $0.70 per 1M input tokens and $2.30 per 1M output tokens.

Question 2

What is the context window of GLM 4.7 by Berget.AI?

Accepted Answer

GLM 4.7 by Berget.AI has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 8K output tokens.

Question 3

What are the capabilities of GLM 4.7 by Berget.AI?

Accepted Answer

GLM 4.7 by Berget.AI supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature. It has open weights.

Question 4

What input and output types does GLM 4.7 support?

Accepted Answer

GLM 4.7 by Berget.AI accepts text as input and can generate text as output.

Question 5

Does GLM 4.7 by Berget.AI support reasoning?

Accepted Answer

Yes, GLM 4.7 by Berget.AI supports advanced reasoning capabilities.

Question 6

Is GLM 4.7 by Berget.AI open source?

Accepted Answer

Yes, GLM 4.7 by Berget.AI 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 Berget.AI 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 Berget.AI has a knowledge cutoff date of 2025-12. 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)

GLM 4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)