b
Yolo-auto gives me fast, consistent access to quality inference at a fraction of the cost of any other provider I’ve seen
Run Qwen3.6-35B-A3B through the same OpenAI-compatible /v1 shape your tools already use. No per-token meter, no surprise bills, no prompt storage.
Works with Cursor · LangChain · pi · Claude Code · openclaw · Hermes · LlamaIndex · OpenAI SDK
POST /v1/chat/completions
No card required to start · No prompt storage · Cancel anytime · Works with anything OpenAI-compatible
Simple pricing
Transparent plans, no token math, no surprise invoices.
$0
Prove Yolo-Auto works in your stack before you pay.
$6
flat rate
Unlimited tokens. No request caps. Your bill never changes.
35B
parameters · 3B active
Sparse MoE architecture gives you serious capability at tiny compute cost.
128K
context window
Long enough to get work done, short enough to keep our GPUs snappy.
0
prompts stored
We don't save your inputs or outputs. Nothing is used for training.
💸
Every retry, tool call, log, diff, and context refresh becomes another line item. The best workflows are often the ones you are afraid to leave running.
🚧
RPM and TPM limits interrupt the exact moments where agents need room to work. Instead of shipping, you end up tuning around provider limits.
🔒
Code, docs, prompts, and responses should not become training fuel or long-lived logs. Your project needs an API that treats the request as temporary.
The solution
For about the price of a Starbucks coffee, Yolo-Auto takes on the repetitive agent traffic: retries, tool calls, drafts, logs, and long-context grind. Save your premium model budget for the moments where it actually matters.
Stop wasting premium spend
Use Yolo-Auto for the everyday agent work, then bring in expensive frontier models only when the task deserves them.
Keep your setup
Use the same SDKs, agent clients, scripts, and OpenAI-compatible configs you already have.
Keep your work private
No prompt storage, no response storage, and no training on your data.
Why it is cheap
Yolo-Auto is cheap because the expensive part stays small and the business stays lean.
Model cost Only 3B active per token
Qwen3.6-35B-A3B has 35B total parameters, but each token only uses about 3B active parameters. That means useful capability without paying dense-model compute prices.
Low overhead No reseller markup
We run dedicated bare-metal capacity, keep the product focused, and skip the middleman chain. Less overhead means the price can stay coffee-cheap.
Drop-in compatibility
Point your tool at Yolo-Auto's /v1 endpoint, paste your API key, and keep using the same OpenAI-compatible request format.
Developer tools
Yolo-Auto Desktop, Cursor, Claude Desktop, pi, openclaw, Hermes, and other agent clients.
Frameworks
LangChain, LlamaIndex, OpenAI SDK clients, curl scripts, and custom integrations.
Simple config
Use base_url, your yolo_... key, and model qwen3.6-35b-a3b.
One OpenAI-compatible endpoint, lots of ways to use it.
Coding agents
Cursor, pi, openclaw, Hermes, Cline, Roo Code, Continue, Claude Code via LiteLLM. Long sessions, no meter anxiety.
RAG & eval pipelines
Batch reranking, retrieval, and eval runs that would bankrupt a per-token API. Flat rate means you can actually run the full suite.
Chat tools & assistants
Drop into any OpenAI-SDK client. 128K context handles real conversations and long documents.
Custom scripts & automation
cron jobs, scrapers, agents that fire all day. A fixed $6/month bill instead of a surprise invoice.
CI review bots
Pull request summaries, lint explanations, test failure analysis, and changelog drafts on every push without turning CI into a token bonfire.
Data cleanup & extraction
Classify messy records, extract fields from docs, normalize text, and process support tickets in bulk. Perfect for high-volume jobs premium models are too expensive for.
b
Yolo-auto gives me fast, consistent access to quality inference at a fraction of the cost of any other provider I’ve seen
R
I'm loving YOLO-auto so far, cheaper than a cup of coffee and provides way more value. Good speed, high uptime and very responsive to any questions or queries.
T
Great for cheap and simple workloads
D
yolo-auto is best and affortable for all my background cron job agent, reliable and dependable
FAQ
The short version before you wire this into your tools.
Yes. Yolo-Auto is fully OpenAI-compatible. Any tool that accepts a base_url and API key works. Yolo-Auto Desktop, pi, openclaw, Hermes, Cursor, Claude Desktop, LangChain, LlamaIndex, your own code, anything using the OpenAI SDK or curl to /v1/chat/completions.
There isn't one. Token usage is unlimited. Like all providers, we have finite throughput, so heavy token usage can affect scheduler priority during peak load. Plan concurrency still applies: requests over your active slot limit are rejected with a retry hint until a slot frees up.
Flat rate: $6/month for unlimited access. No per-token fees means your bill never changes. A single day of heavy agent usage on other providers can cost more than a full month here.
No. We don't store prompts, responses, or conversation history. It would be a legal liability and we have no use for it. Our admin tools show request metadata (time, model, token counts, latency) but never prompt or response text. Nothing is used for training. We run our own distributed infrastructure; requests don't go to third-party providers.
We're focused on Qwen3.6-35B-A3B right now because we can optimize the hell out of it on dedicated hardware. More models are planned. We'll add them when we can guarantee the same pricing and uptime.
$6/month for unlimited Qwen3.6-35B access. Free tier available, no card required — create an account, get your key, and switch in under a minute.
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