Question 1

What is the cost of GLM 4.7 Flash by NanoGPT?

Accepted Answer

GLM 4.7 Flash by NanoGPT costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. Cached reads cost $0.04 per 1M tokens.

Question 2

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

Accepted Answer

GLM 4.7 Flash 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 Flash by NanoGPT?

Accepted Answer

GLM 4.7 Flash 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 Flash support?

Accepted Answer

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

Question 5

Does GLM 4.7 Flash by NanoGPT support reasoning?

Accepted Answer

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

Question 6

Is GLM 4.7 Flash by NanoGPT open source?

Accepted Answer

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

Question 7

Does GLM 4.7 Flash support function calling?

Accepted Answer

Yes, GLM 4.7 Flash 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 Flash?

Accepted Answer

GLM 4.7 Flash 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 Flash API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)