Question 1

What is the cost of GLM-4.7 by TensorX?

Accepted Answer

GLM-4.7 by TensorX costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. Cached reads cost $0.15 per 1M tokens. Cache writes cost $0.75 per 1M tokens.

Question 2

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

Accepted Answer

GLM-4.7 by TensorX has a context window of 200K tokens. It supports up to 200K input tokens and can generate up to 200K output tokens.

Question 3

What are the capabilities of GLM-4.7 by TensorX?

Accepted Answer

GLM-4.7 by TensorX 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 TensorX accepts text, image as input and can generate text as output.

Question 5

Does GLM-4.7 by TensorX support reasoning?

Accepted Answer

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

Question 6

Is GLM-4.7 by TensorX open source?

Accepted Answer

Yes, GLM-4.7 by TensorX 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 TensorX 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 TensorX 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)