Question 1

What is the cost of GLM 4.7 Thinking by NanoGPT?

Accepted Answer

GLM 4.7 Thinking by NanoGPT costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. Cached reads cost $0.10 per 1M tokens.

Question 2

What is the context window of GLM 4.7 Thinking by NanoGPT?

Accepted Answer

GLM 4.7 Thinking by NanoGPT has a context window of 200K tokens. It supports up to 200K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of GLM 4.7 Thinking by NanoGPT?

Accepted Answer

GLM 4.7 Thinking 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 Thinking support?

Accepted Answer

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

Question 5

Does GLM 4.7 Thinking by NanoGPT support reasoning?

Accepted Answer

Yes, GLM 4.7 Thinking by NanoGPT supports advanced reasoning capabilities.

Question 6

Is GLM 4.7 Thinking by NanoGPT open source?

Accepted Answer

Yes, GLM 4.7 Thinking by NanoGPT has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does GLM 4.7 Thinking support function calling?

Accepted Answer

Yes, GLM 4.7 Thinking 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 Thinking?

Accepted Answer

GLM 4.7 Thinking 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 Thinking API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)