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

Run chat, coding agents, and automation on an OpenAI-compatible API with free testing and paid plans from $19/month.

Start flat-rate LLM access → Compare plans

Plans from $19/mo

Choose a predictable monthly subscription with visible usage and no per-token charge.

No per-token billing

Paid-plan token usage is not billed per token.

OpenAI-compatible

Keep familiar SDK and tool integrations with a custom base URL.

Quick setup

Create an account, copy your yolo_... API key, set your base URL to https://yolo-auto.com/v1, and select qwen3.8-flash for Free or paid access. See the models page for details.

Best next pages

Docs · Pricing · Qwen Flash API · Free LLM API · Flat-rate LLM API

Flat-rate pricing for unpredictable LLM workloads

Coding agents, long chats, retries, and automation make token volume hard to forecast. A fixed monthly price turns that variable spend into a planning number.

Start free, then choose a monthly plan

Validate your integration on the free tier. Paid tiers are designed for progressively heavier multi-agent workloads.

Visible usage with clear limits

Token usage is measured for plan limits but is not billed per token.

Who Flat-Rate LLM API from $19/mo is actually for

Flat-Rate LLM API from $19/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.

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 $19/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 and confirm access with GET /v1/models.

These examples use qwen3.8-flash, our recommended model for text, images, and tools on Free and paid plans. Paid users can optionally choose yolo, a configurable route initially backed by Flash. Its server-side target can change while your client model ID stays the same.

curl

curl https://yolo-auto.com/v1/chat/completions \
  -H "Authorization: Bearer yolo_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-flash",
    "messages": [
      { "role": "user", "content": "Write a concise migration plan for moving a coding agent from per-token billing to a flat-rate LLM API." }
    ]
  }'

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: "qwen3.8-flash",
  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

Choose it when

You need OpenAI-compatible LLM access, predictable cost, free testing, and no prompt retention. Your prompts and responses are not used for model training.

Skip it when

You need image generation, every model under the sun, a managed IDE, or a consumer-only chatbot with no API workflow.

Next step

Read the docs, check models, compare pricing, or review the privacy policy.

Flat-Rate LLM API from $19/mo FAQ

What does flat-rate include?

Paid plans do not bill by token. Compare tiers on the pricing page to choose the capacity for your workload.

Who should use this?

Developers running chat apps, coding agents, SDK clients, and automation workflows.

Does it use the OpenAI SDK shape?

Yes. Configure the SDK with Yolo-Auto as the base URL.

Related LLM API guides