I built a $6/mo unlimited LLM provider SaaS

We're nowhere near capacity, so here's a stupid deal, while also telling you what it's all about.

Unlimited AI inference for $6/month.

Model:qwen3.6-35b

\- No token caps

\- No request caps

\- OpenAI-compatible endpoint

\- \~100 tokens/sec average right now

\- 2 active generations at once

\- 128K context (maybe 256 soon)

\- strong growing discord community

\- events with prizes

\- for normal prompts, TTFT is insane

If you're building an AI embedded SaaS, shipping side projects, or just burning through prompts, this is probably the cheapest unlimited inference endpoint you'll find.

So we have about 99% uptime now. Finally figured out how to make qwen3.6-35b-3a not loop, and we've had some pretty big blunders along the way. It's all at yolo-auto.com .

reddit.com
u/Substantial_Ranger_5 — 2 hours ago

No more token counting. Experiment with agents on unlimited tokens and no caps for just $6/mo

Greetings Fellow AI Agent Enthusiasts!

If anyone needs a place to absolutely abuse an LLM, come beat ours up at yolo-auto.com

$6/month

Model: Qwen3.6-35B-A3B

  • Unlimited tokens
  • No request caps
  • FP8 / 128k context
  • OpenAI-compatible endpoint
  • ~100 tokens/sec average right now
  • 100% private (no data retained)

We've got around 100 active users so far. If you're skeptical, jump into our Discord and ask them—we've got people burning hundreds of millions of tokens a day doing agent experiments, coding, data processing, and all kinds of nonsense.

We 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. We're giving free users 500 requests a day.

My advice: don't waste expensive frontier model credits on bulk work. Send the boring, repetitive, high-volume jobs to something like this, and save GPT-5/Claude/etc. for the prompts where you actually need frontier-level reasoning.

If you manage to break it, I'd genuinely like to hear about it. That's how we've been improving the service.

Drop a question / comment below if you have any!

u/Substantial_Ranger_5 — 6 hours ago
▲ 5 r/CheapGptplus+3 crossposts

4th of July Weekend: Game Dev Competition! With Free LLM Access and Prizes

Hi there,

I have been designing a few games with embedded AI on the backend and lurking these subreddits for a while, this will be my first post here, but just to tell you that:

I’m running a small game dev contest called YOLO-Auto SlopJam.

You get 3 days to vibe code a game- it may be cursed, janky, funny, obviously-AI-generated, or serious.

The goal is to make something playable, weird, and entertaining enough to show in a 1-minute gameplay video or montage. The more entertaining, the better.... A few example ideas:

  • A dating sim where every NPC forgets who they are
  • A roguelike where enemies negotiate employment contracts
  • A Flappy Bird clone with tax law
  • A horror game where the monster is an LLM hallucination
  • A cooking sim that only makes database errors
  • A shooter where every weapon has useless lore
  • A game with UI so bad it becomes art
  • Whatever else you want. Please keep it tasteful.

You can use any language, engine, or framework. Unity, Godot, Unreal, JS, Python, Bevy, Love2D, Scratch-tier nonsense — whatever gets the slop on screen while using our service qwen3.6-35b-3a as your model.

YOLO-Auto is sponsoring it, so we’re opening up the free tier for everyone during the contest. You can sign up here: https://yolo-auto.com/news/yolo-auto-slopjam

Free participants get:

500 free requests per day
Model: Qwen3.6-35B-A3B

Submissions require:

  • Game title
  • Short description
  • 1-minute gameplay video or montage
  • Tech stack used
  • Optional playable build / repo / itch link

Prizes:

1st place: 6 months of YOLO-Auto free
2nd place: 3 months of YOLO-Auto free
3rd place: 1 month of YOLO-Auto free

Judging is based on:

  • Slop factor
  • Creativity
  • Playability
  • Entertainment value
  • Maximum AI chaos energy

The whole point is to build fast, make something ridiculous, and have fun with the current state of AI-assisted game dev.

Have any questions? Post them Here! I would love to chat.

u/Substantial_Ranger_5 — 3 days ago
▲ 6 r/CheapGptplus+1 crossposts

Yolo-Auto Unlimited Token plan: $6 a month: Soon doing a free weekend

Hey everyone,

If you're not sure who yolo-auto.com is, we are the guys who are pushing unlimited access to qwen3.6-35b-3a for $6 a month flat fee.

Just a heads up. We're planning on giving YOLO-Auto an upgrade and are currently evaluating which new models we can add to our $6/month unlimited tier. We're currently eyeing Qwen/Qwen3.5-122B-A10B. Given that, we're thrilled to announce that our very first FREE AI Weekend on YOLO-Auto is just around the corner!

🚀 1. Unlimited means unlimited.

No token meter. No "you've used 90% of your quota." Just use the models as much as you want for $6/month. No misleading limited plans where 5h usage is 30% of your monthly budget lol (Im looking at you opencode go).

🧠 2. 128k context, 2 generations at once, 24/7

⚡3. Fast, simple, and built for power users.

OpenAI-compatible API, chat interface, and hopefully soon 122b. We have a simple yolo-auto-desktop open source where you can enter your api key and start immediately.

🎉 4. Free AI Weekend is coming.

For one weekend, all users (no credit card required) will be able to use Qwen/Qwen3.5-122B-A10B for free. All you need to do is make an account. If you've been curious about YOLO-Auto, this is the best time to see what it's like. Currently Projected for weekend of July 11th.

🔒 5. No data retention

We save 0 prompts. Just like electricity passing through a wire, once your prompts leave the cache, it's gone. No training on data. We don't sell or share any of your data with anyone.

❤️ Help shape what's next.

The service is improving every week based on community feedback. Every subscriber helps fund better hardware, better models, and more features.

If you've been waiting to try an unlimited AI service without worrying about token costs, keep an eye out—we'll announce the details Free AI Weekend soon. Our services will remain the same (35b still live and free tier still available).

See you there!

u/Substantial_Ranger_5 — 2 days ago

How would you all feel about a provider that gave you unlimited tokens?

Why dont large providers just let you use their LLM without token limits?

Why havent more unlimited llm subscriptions followed up that just give you an openai/v1 compatible endpoint with a monthly subscription?

Whats up with all these usage caps and stuff?

reddit.com
u/Substantial_Ranger_5 — 12 days ago

Unlimited LLM access for $6/mo for qwen3.6-35b-3a at yolo-auto-desktop.com

Hi,

​

I made a post here about a month ago and got like 50 on people on a waitlist. Things have been going pretty well. Some day 1 guys are burning like 2 billion tokens a week.

​

$6 unlimited LLM API access at yolo-auto.com . Private LLM access, no prompts saved, no limits.

​

Skeptical? Check out our discord.

​

https://discord.gg/fq7dFgyNJ

​

Model: qwen-35b-3a

​

Yolo-auto.com .

u/Substantial_Ranger_5 — 16 days ago

I got tired of API costs ruining agent loops, so we built a $6/mo unlimited API on 4x 3090s

Hi,

So like the whole point of AI Agents, whether you are doing random stuff at home, setting up mutli agents to do things, is to just keep them working 24/7. Local hosting solves alot of this but many people cant host anything because there's no GPUs available -- the entry is is $4000 right now.

I also got tired of cloud companies forcing paid api tokens to use other tools outside their ecosystem.

So the dream is: No credits, No obscure usage, No token limits, no request limits, and run agents in your own sandbox or pc .

I built the dream--- an unlimited qwen3.6-35b-3a provider service at yolo-auto -- come for a $6 flat fee.

Sure its not the best coding model. But its awesome in openclaw and in the right harness, it can code while burning millions of tokens to do somewhat medium difficulty tasks.

Its locally hosted and we're sitting at like ~98% uptime. The users who stuck around are crushing billions of tokens a week. We finally figured out how to make MI300x not suck (sglang crew). We're basically making enough to pay for power, but we're a growing community and people really enjoy the service.

So whats that have to do this this thread? If you are:

  1. spending more than $6
  2. afraid to use metered api tokens to do hobby-like things
  3. want to try some open weighted models on private servers with 0 data retention

then come give us a try or, chat in our discord, which is on our site, commented below

Thanks for reading!

reddit.com
u/Substantial_Ranger_5 — 17 days ago

What are you using to combine SQL and dataframe pipelines?

​I currently use dbt Core on-prem with Postgres. I genuinely love the documentation, testing, and CLI commands.

But I'm hitting a wall: some transformations are just an absolute nightmare to write in pure SQL.

​The standard workaround of sandwiching tools together—doing Python Extract/Load -> Polars -> dbt -> Polars -> back to dbt—sucks. You end up having to write fake stubs just to make the steps talk to each other cleanly.

​Here is where I'm at with the current ecosystem: ​dbt Python models / Fivetran: Not an option. I'm avoiding that ecosystem entirely.

​Dagster: I was looking into it, but I'm glad I dodged that bullet given their recent trajectory. I have zero interest in getting pushed to their cloud.

​Airflow: Manually stitching this all together with Airflow DAGs is tedious and bloated.

​SQLMesh: Honestly, it seems a bit weird to me, though maybe I need to look closer.

​What are you all actually using for strictly on-prem solutions where you need to seamlessly mix Python (Polars) and SQL?

​I'm completely open to ripping out dbt if there is a better paradigm for this.

Also, I might just re-write everything in polars. But the problem there is polars is better if u have hive style partitions with s3- like storage -- not an option for this client. ​I would essentially be doing ETL to postgres just to extract it again. Then, how could I get that self documenting pipeline?

Thanks

reddit.com
u/Substantial_Ranger_5 — 26 days ago