GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

ChatZhipu1M tokens$0.1635 / $0.545 · 1M

z-ai/glm-5.3-flash:batch

Context
1M tokens
Completion cap
943,717
Tools
Yes
JSON
Yes
Released
2026-08-26

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.3-flash:batch",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is GLM 5.3 Flash (batch)?
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead. GLM 5.3 Flash (batch) runs on the Geek Hub API (OpenAI-compatible). Model id: z-ai/glm-5.3-flash:batch.
Is GLM 5.3 Flash (batch) free?
No. Input is $0.1635 per 1M tokens and output is $0.545 per 1M tokens on Geek Hub (markup included).
What is the context length of GLM 5.3 Flash (batch)?
GLM 5.3 Flash (batch) has a 1M tokens context window. It supports up to 943,717 completion tokens.
Does GLM 5.3 Flash (batch) support tool calling and structured outputs?
GLM 5.3 Flash (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was GLM 5.3 Flash (batch) released?
GLM 5.3 Flash (batch) was released on 2026-08-26.

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