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 the specs for $6/month:
- Model: Qwen3.6-35B-A3B - Unlimited tokens / No request caps - FP8 / 128k context - OpenAI-compatible endpoint - ~100 tokens/sec average - 100% private (zero data retention)
We also have a free tier that gives you 500 requests a day going on.
We've got around 100 active users so far. If you're skeptical about the unlimited claim, jump into our Discord and ask them—we've got people burning hundreds of millions of tokens a day doing agent experiments, bulk coding, data processing, and all kinds of nonsense.
We're also just about to finish our first AI game-dev "SlopJam," where people had 72 hours to build the most cursed AI-generated game they could. It was way more fun than we expected.
Drop a question or comment below, happy to answer anything!