Model facet · API

Qwen3.8-Flash API quickstart

Qwen3.8-Flash exposes OpenAI- and Anthropic-compatible 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.

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":"qwen3.8-flash","messages":[{"role":"user","content":"Reply with: connection verified"}]}'

Live model name pending confirmation

The exact model identifier routed through OneInfer will be confirmed once the public Qwen3.8-Flash API is in production. This page will switch from "pending" to "verified" at that point.

Ready to test the workflow?

Create account & add credits

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 Qwen3.8-Flash with the API?

Send an OpenAI- or Anthropic-compatible request with model "qwen3.8-flash" and a valid API key. The exact model identifier routed through OneInfer will be confirmed once the public API is in production.

Where is the live Qwen3.8-Flash model page?

The canonical model page with current OneInfer pricing, capabilities, and availability is /models/Qwen/Qwen3.8-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 Qwen3.8-Flash to work

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