Model facet · API

GLM-5.3-Flash API quickstart

GLM-5.3-Flash exposes OpenAI Chat Completions and Anthropic Messages endpoints so most existing SDKs and coding tools can point at it with a base URL change. This page is a quickstart; the full step-by-step guides cover individual tools and operating parameters in depth.

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Two request protocols

ProtocolUse whenBase path
OpenAI Chat CompletionsMost existing OpenAI-SDK integrations and coding toolsView →
Anthropic MessagesClaude Code and other Anthropic-SDK-based toolsView →

Minimal request

Example
curl https://api.oneinfer.ai/v1/ula/chat/completions \
  -H "Authorization: Bearer $ONEINFER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"z-ai/GLM-5.3-Flash","messages":[{"role":"user","content":"Reply with: connection verified","image_url":"https://example.com/sample.png"}]}'

Multimodal input is image + text

GLM-5.3-Flash accepts image input as a base64 data URI or public URL alongside the text prompt — pass `image_url` in the message `content` array. Output is text only.

Ready to test the workflow?

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Go deeper

  • Full setup and troubleshooting for a specific key or tool — see the integration guides.
  • Defining tools and validating structured output — see the function-calling guide.

Frequently asked questions

How do I use GLM-5.3-Flash with the API?

Send an OpenAI- or Anthropic-compatible request with model "z-ai/GLM-5.3-Flash" and a valid API key. Image input goes in the message `content` array as `image_url`.

Where is the live GLM-5.3-Flash model page?

The canonical model page with current OneInfer pricing, capabilities, and availability is /models/zai-org/GLM-5.3-Flash. This page is a focused facet of that entity, not a replacement for it.

How should I treat benchmark or price claims?

Check each claim's provenance label and observed date. Vendor-reported and independently verified numbers are shown as separate evidence classes on this hub.

Put GLM-5.3-Flash to work

Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.

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