Qwen API access through an OpenAI-compatible endpoint.
Use Yolo-Auto to run Qwen models from chat clients, SDKs, coding agents, and OpenAI-compatible tools.
Exact model IDs
Copy public model names from the models page.
OpenAI-compatible
Use Qwen through familiar /v1 chat completions.
Developer-first
Built for agents, apps, scripts, and custom clients.
Quick setup
Create an account, copy your yolo_... API key, set your base URL to https://yolo-auto.com/v1, and use a public model from the models page.
Best next pages
Docs · Pricing · Models · Free AI chat · Cheap LLM API
Qwen through standard tooling
Yolo-Auto exposes Qwen routes through an OpenAI-compatible API, so you can use common SDKs and clients without custom protocol work.
Why Qwen
Qwen open-weight models are strong for coding, chat, and agentic workflows while remaining efficient enough for low-cost hosting.
Start free, then scale
Use the free tier to test prompts and integrations, then upgrade to flat-rate unlimited when usage grows.
Who Qwen API is actually for
Qwen API is best for developers and power users who want model access inside tools, agents, scripts, and apps — not just a closed consumer chatbot tab.
- Coding assistants and repo-analysis tools.
- Chat clients that need capable open-weight model responses.
- Developers testing Qwen through an OpenAI-compatible interface.
Qwen is the model family Yolo-Auto optimizes around
Qwen routes are useful for coding, technical chat, repo analysis, and agentic work. Yolo-Auto exposes those routes through the same OpenAI-compatible client shape developers already use.
Instead of juggling model-serving details, you create a Yolo-Auto key, pick the current model ID from the models page, and send chat completions.
Try Qwen API with a normal chat completion
The fastest test is a single request against the OpenAI-compatible endpoint. Use your real Yolo-Auto API key, then swap the model ID if the models page shows a newer default.
curl
curl https://yolo-auto.com/v1/chat/completions \
-H "Authorization: Bearer yolo_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-35b-a3b",
"messages": [
{ "role": "user", "content": "Generate a code review checklist for a TypeScript Cloudflare Worker using a Qwen model." }
]
}'OpenAI SDK style
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.YOLO_AUTO_API_KEY,
baseURL: "https://yolo-auto.com/v1"
});
const response = await client.chat.completions.create({
model: "qwen3.6-35b-a3b",
messages: [{ role: "user", content: "Generate a code review checklist for a TypeScript Cloudflare Worker using a Qwen model." }]
});
console.log(response.choices[0]?.message?.content);When to choose Yolo-Auto
You need OpenAI-compatible LLM access, predictable cost, free testing, and no prompt or response storage.
You need image generation, every model under the sun, a managed IDE, or a consumer-only chatbot with no API workflow.
Read the docs, check models, compare pricing, or review the privacy policy.
Qwen API FAQ
Where do I find Qwen model IDs?
Use the Yolo-Auto models page for exact public model IDs.
Does this work with OpenAI SDK clients?
Yes, set the base URL to Yolo-Auto and use your yolo_ key.
Is prompt text stored?
No. Prompts and responses are not stored.
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