An unmetered LLM API–$6/month, no token tracking, no limits
Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
An unmetered LLM API–$6/month, no token tracking, no limits launched on July 6, 2026 with 12 votes, #1,321 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
This is an unmetered LLM API service offering unlimited token access for $6 per month using the Qwen 3.6-35B model with 128k context window and OpenAI-compatible endpoints. It targets developers who need to run high-volume, repetitive tasks without token counting or request limits, processing approximately 100 tokens per second. The service maintains zero data retention for privacy and offers a free tier with 500 daily requests.
written from the facts on this page · September 2026
From the sources
Yolo-Auto provides an unlimited, OpenAI-compatible LLM API for developers. Free tier with 15 requests/week, or $6/month for unlimited Qwen3.6-35B-A3B. No per-token pricing, no request limits. Chat with us or users in discord https://discord.gg/QQbBwmSUk They want us to get more users so we can start adding more models. Your data stays completely private.
OpenAI-compatible Qwen3.8-27B API for coding agents. Start free, then upgrade to flat-rate pricing with no per-token billing. Fair-use and shared-capacity limits apply.
Every request runs Qwen3.8-27B with FP8 weights and FP8 KV caching. Get predictable monthly billing, up to 256K context, and no routine prompt or response retention while keeping the chat-completions stack your tools already use. Paid plans are for normal interactive use. Fair use, bounded queues, and shared-capacity availability apply. No token credits, no per-token overages, and no surprise usage invoice. For heavier interactive workloads that need more agent capacity and headroom. Set the base URL, add a Yolo-Auto API key, and choose qwen3.8-27b . Keep the familiar request shape. Copy curl https://yolo-auto.com/v1/chat/completions \ -H "Authorization: Bearer yolo_YOUR_KEY" \ -H…from yolo-auto.com
In the maker’s words, at launch
Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I…
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Source: Show HN post ↗ · launch text quoted in part
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