Flat-rate LLM API access from $6/month.
Paid plans remove per-token billing for normal interactive use. Fair-use limits, concurrent-unit limits, bounded queues, and shared-capacity availability apply.
No per-token meter
Paid-plan usage is not billed by the token.
OpenAI-compatible
Use familiar /v1 chat completions routes with your existing tools.
Built for agents
Long prompts, retries, and agent loops are easier to budget.
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
Why flat-rate matters
Agent workflows are unpredictable. A coding agent can burn through context and retries fast, so per-token pricing makes experimentation painful. Yolo-Auto gives you a predictable flat-rate path.
What flat-rate means
Paid-plan token usage is not metered for billing. Plans are intended for normal interactive use and remain subject to fair-use controls, concurrent-unit limits, bounded queues, and shared-capacity availability.
Use it like any OpenAI-compatible API
Set your base URL to https://yolo-auto.com/v1, use your yolo_ API key, choose a public model, and send chat completion requests.
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.
- Long-context chat sessions that would be awkward on per-token pricing.
- Background automation where exact token volume is hard to forecast.
- Power users who want a flat monthly LLM budget instead of a live meter.
Unlimited is about removing the meter anxiety
Flat-rate LLM access does not mean infinite physical capacity. It means your bill is not calculated from token volume. Paid plans are intended for normal interactive use and remain subject to fair-use controls, explicit concurrent-unit limits, bounded queues, and shared-capacity availability.
That matters most for agents, long conversations, and development loops where the cost is hard to predict before the work starts.
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
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." }
]
}'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: "qwen3.8-27b",
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
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.
Flat-Rate LLM API from $6/mo FAQ
Are paid plans billed per token?
No. Paid-plan token usage is not charged per token. Fair-use controls, concurrent-unit limits, bounded queues, and shared-capacity availability still apply.
Can I test before paying?
Yes. Start on the free tier and upgrade when you need heavier usage.
Does unlimited include prompt storage?
No. Prompts and responses are not routinely retained as conversation history.
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