Question 1

What is the cost of GLM 4.7 by NanoGPT?

Accepted Answer

GLM 4.7 by NanoGPT costs $0.15 per 1M input tokens and $0.80 per 1M output tokens.

Question 2

What is the context window of GLM 4.7 by NanoGPT?

Accepted Answer

GLM 4.7 by NanoGPT has a context window of 200K tokens. It supports up to 200K input tokens and can generate up to 128K output tokens.

Question 3

What are the capabilities of GLM 4.7 by NanoGPT?

Accepted Answer

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

Question 5

Does GLM 4.7 by NanoGPT support reasoning?

Accepted Answer

Yes, GLM 4.7 by NanoGPT supports advanced reasoning capabilities.

Question 6

Is GLM 4.7 by NanoGPT open source?

Accepted Answer

Yes, GLM 4.7 by NanoGPT 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 NanoGPT 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 NanoGPT 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)

GLM 4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)