Free accounts. Paid LLM API inference.

Create an account for Qwen3.8-27B tooling and model discovery. Free accounts include 0 requests/week. Choose a paid plan for API inference.

Who LLM API: Free Accounts, Paid Inference is actually for

LLM API: Free Accounts, Paid Inference is best for developers and power users who want model access inside tools, agents, scripts, and apps, not just a closed consumer chatbot tab.

• Paid API inference for your own tools and workflows.
• Desktop chat through Yolo-Auto Desktop or another compatible client.
• Developer workflows that need an API key more than a closed chatbot UI.

Programmable AI for developer workflows

Yolo-Auto provides a key, an endpoint, model IDs, and examples for paid inference. Free accounts include 0 requests/week.

That makes these pages more than a list of buzzwords: they point to the same developer workflow behind the product.

Try LLM API: Free Accounts, Paid Inference with a normal chat completion

The fastest test is a single request against the OpenAI-compatible endpoint. Use your real Yolo-Auto API key and confirm access with GET /v1/models.

These examples use Qwen3.8-27B with model ID qwen3.8-27b for text, images, and tools on paid plans. Paid users can optionally choose yolo, a configurable route currently backed by Qwen3.8-27B. Its server-side target can change while your client model ID stays the same.

curl https://yolo-auto.com/v1/chat/completions \
  -H "Authorization: Bearer yolo_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b",
    "messages": [
      { "role": "user", "content": "Give me a practical getting-started checklist for using Yolo-Auto." }
    ]
  }'

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: "qwen3.8-27b",
  messages: [{ role: "user", content: "Give me a practical getting-started checklist for using Yolo-Auto." }]
});

console.log(response.choices[0]?.message?.content);

When to choose Yolo-Auto