Flat-rate LLM API pricing without per-token bills.

Who Flat-Rate LLM API from $6/mo is actually for

Flat-Rate LLM API from $6/mo is best for developers and power users who want model access inside tools, agents, scripts, and apps, not just a closed consumer chatbot tab.

• Developers who want one monthly AI cost center.
• Teams comparing fixed subscription pricing against usage-based APIs.
• Agent builders who need room to test prompts, tools, and failure modes.

Flat-rate pricing is operationally simpler

Usage-based APIs are fine when every request is predictable. They get annoying when you are experimenting, debugging, or letting an agent work through a problem. A flat-rate AI API turns that variable cost into a planning number.

Yolo-Auto keeps the same developer ergonomics while changing the pricing model: OpenAI-compatible requests, one API key, and a monthly plan for heavier usage.

Try Flat-Rate LLM API from $6/mo 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 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": "Write a concise migration plan for moving a coding agent from per-token billing to a flat-rate LLM API." }
    ]
  }'

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: "Write a concise migration plan for moving a coding agent from per-token billing to a flat-rate LLM API." }]
});

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

When to choose Yolo-Auto

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