Show HN: An unmetered LLM API–$6/month, no token tracking, no limits

Unlimited Qwen3.6-35B. One flat $6/month API.

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.

13.6Btokens served

351.1Krequests handled

Create your API key →from $6/mo · unlimited View docs

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

Start free. Go flat-rate when you're ready.

Transparent plans, no token math, no surprise invoices.

$0

Prove Yolo-Auto works in your stack before you pay.

15 requests/day for integration testing

Qwen3.6-35B FP8 quality

128K context for real prompts and docs

No card and no token bill

Start free

$10$6/mo40% off active now

Run agents, coding tools, and automations without meter anxiety.

Unlimited Qwen3.6-35B tokens for one flat price

No daily request cap

Built for real agent workflows

Run your agent loops in peace

Cancel anytime. No lock-in, no per-token overage.

Go unlimited →

$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.

Your AI bill is making you use your tools less.

If you run coding agents, automations, or tool-heavy workflows, per-token pricing changes your behavior. You shorten prompts, avoid long context, stop loops early, and worry more about cost than output.

💸

You cannot predict the meter.

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.

🚧

Your agents hit artificial walls.

RPM and TPM limits interrupt the exact moments where agents need room to work. Instead of shipping, you end up tuning around provider limits.

🔒

Your private work sits in someone else's stack.

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

Let us handle the cheap work.

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

Small active model cost. Almost no overhead.

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

Works with everything that speaks OpenAI.

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.

View setup docs → Create API key

What people run on Yolo-Auto.

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.

From real users

What people are saying.

Pulled straight from the Yolo-Auto Discord. Check it for yourself →

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

Frequently asked questions

The short version before you wire this into your tools.

Does this work with my existing 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.

What's the catch on "unlimited"?

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.

How does pricing compare to OpenAI or other providers?

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.

Do you store my prompts or conversations?

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.

Will you add more models?

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.

Stop paying per token.

$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.

Create your API key →