Yolo-Auto

Yolo-Auto

Yolo-Auto provides OpenAI-compatible API access to the Qwen3.6-35B-A3B model on a flat monthly plan for coding agents, RAG pipelines, and automation.

freemium
llm-apiqwenopenai-compatibleflat-rate-aicoding-agentragautomationunlimited-tokens
Indexed
Updated
3.9 (0 Number of reviews)

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Yolo-Auto is a flat-rate API service for the Qwen3.6-35B-A3B language model, aimed at developers running high-volume AI workloads who want predictable monthly costs instead of per-token billing.

How it works

The endpoint mirrors the OpenAI Chat Completions schema, so most SDKs and agent frameworks work by swapping the base_url. Instead of rate limits, each plan buys a fixed number of concurrency units, letting many parallel jobs run against the same subscription.

Key features

  • OpenAI-compatible endpoint at /v1/chat/completions with unlimited monthly tokens.
  • 128K context window on lower tiers, expanded to 256K on Pro.
  • No prompt retention for routine calls and no daily request cap.

Who it fits

Positioned for coding agents such as Cursor, RAG pipelines built with LangChain or LlamaIndex, CI/CD bots, and other repeat inference workloads. Plans start at Starter ($6/month, 1 concurrent unit), Builder ($10, 2 units), and Pro ($15, 4 units, 256K context).

Pros & Cons

Pros

  • Flat monthly pricing removes per-token cost surprises for heavy workloads
  • OpenAI-compatible endpoint means most existing SDKs and agents work by swapping base_url
  • Concurrency-unit model lets teams run many parallel jobs on a single subscription
  • No daily request cap and no prompt retention for routine calls

Cons

  • Runs a single model family (Qwen3.6-35B-A3B); teams needing top-tier frontier models will still need another provider
  • Concurrency-unit ceilings on entry plans may bottleneck teams that spike traffic hard
  • Third-party latency, uptime, and benchmarks are not yet widely documented for this service

Frequently Asked Questions

Is Yolo-Auto compatible with the OpenAI SDK?

Yes. The /v1/chat/completions endpoint follows the OpenAI schema, so most clients work after changing the base URL and API key.

Are tokens really unlimited?

The vendor markets unlimited monthly tokens with no overage fees; throughput is instead controlled by concurrency units rather than per-second rate limits.

Which frameworks work with it?

Documented integrations include Cursor, LangChain, LlamaIndex, Claude Desktop connectors, and any tool that accepts a custom base_url.

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