LLM Reference
Z.ai

Using GLM-5.3-Flash on Z.ai

Implementation guide · GLM-5 · Zhipu AI

ServerlessOpen Source

Z.ai exposes GLM-5.3-Flash through model ID glm-5.3-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-08-26. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Z.ai and generate an API key.
  2. 2
    Use the Z.ai SDK or REST API to call glm-5.3-flash.
  3. 3
    You'll be billed $0.07/1M input, $0.25/1M output tokens.

Code Examples

Code examples for this provider have not been sourced yet.

Pricing on Z.ai

TypePrice (per 1M)
Input tokens$0.07
Output tokens$0.25

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About GLM-5.3-Flash

GLM-5.3-Flash is Z.ai's first native multimodal model in the GLM-5 series. It is a 320B-total / 18B-active Mixture-of-Experts model with a 1M-token context window and 131,072 max output tokens, supporting image, video, and file input plus function calling, tool use, structured outputs, reasoning, and prompt caching. MIT open weights are ungated on Hugging Face at zai-org/GLM-5.3-Flash. Official API model ID: glm-5.3-flash. The same model was previously tested anonymously as ox-alpha; that name is not a separate catalog slug.

Model Specs

Released2026-08-26
Parameters320B total, 18B active
Context1m
ArchitectureMixture of Experts

Provider

Z.ai
Z.ai