Question 1

What is the cost of GLM-5.3-Flash by Pareto Inference?

Accepted Answer

GLM-5.3-Flash by Pareto Inference costs $0.03 per 1M input tokens and $0.10 per 1M output tokens. Cached reads cost $0.0060 per 1M tokens.

Question 2

What is the context window of GLM-5.3-Flash by Pareto Inference?

Accepted Answer

GLM-5.3-Flash by Pareto Inference has a context window of 1.0M tokens. It supports up to 1.0M input tokens and can generate up to 131K output tokens.

Question 3

What are the capabilities of GLM-5.3-Flash by Pareto Inference?

Accepted Answer

GLM-5.3-Flash by Pareto Inference supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does GLM-5.3-Flash support?

Accepted Answer

GLM-5.3-Flash by Pareto Inference accepts text, image, video as input and can generate text as output.

Question 5

Does GLM-5.3-Flash by Pareto Inference support reasoning?

Accepted Answer

Yes, GLM-5.3-Flash by Pareto Inference supports advanced reasoning capabilities.

Question 6

Is GLM-5.3-Flash by Pareto Inference open source?

Accepted Answer

Yes, GLM-5.3-Flash by Pareto Inference has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does GLM-5.3-Flash support function calling?

Accepted Answer

Yes, GLM-5.3-Flash by Pareto Inference supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

GLM-5.3-Flash API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)