Question 1

What is the cost of Coding-GLM-4.7 by AIHubMix?

Accepted Answer

Coding-GLM-4.7 by AIHubMix costs $0.06 per 1M input tokens and $0.22 per 1M output tokens. Cached reads cost $0.01 per 1M tokens.

Question 2

What is the context window of Coding-GLM-4.7 by AIHubMix?

Accepted Answer

Coding-GLM-4.7 by AIHubMix has a context window of 205K tokens. It supports up to 205K input tokens and can generate up to 131K output tokens.

Question 3

What are the capabilities of Coding-GLM-4.7 by AIHubMix?

Accepted Answer

Coding-GLM-4.7 by AIHubMix supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Coding-GLM-4.7 support?

Accepted Answer

Coding-GLM-4.7 by AIHubMix accepts text as input and can generate text as output.

Question 5

Does Coding-GLM-4.7 by AIHubMix support reasoning?

Accepted Answer

Yes, Coding-GLM-4.7 by AIHubMix supports advanced reasoning capabilities.

Question 6

Is Coding-GLM-4.7 by AIHubMix open source?

Accepted Answer

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

Question 7

Does Coding-GLM-4.7 support function calling?

Accepted Answer

Yes, Coding-GLM-4.7 by AIHubMix 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 Coding-GLM-4.7?

Accepted Answer

Coding-GLM-4.7 by AIHubMix has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Coding-GLM-4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Coding-GLM-4.7 API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)