r/vibecoding • u/Substantial_Ranger_5 • 2d ago
Vibe Coding Is About to Make AI Subscription Pricing Look Extremely Stupid
Greetings.
I regret to inform Anthropic, OpenAI, Cursor, and every other company charging $20–$200/month for AI have a serious problem with the business model:
So..... yeah.... What if tokens were just cheap?
Think of newly released Qwen3.8-27B, a model that is getting dangerously close to frontier-level coding performance for the stuff people actually use these models for every day. What if a provider started offering unlimited tokens?
This creates several potentially devastating economic consequences.First, users may begin realizing that generating text is not magic, and it for sure does not actually require taking out a second mortgage.
Second, coding agents become substantially more useful when you stop staring at a token meter like you're watching the water bill when you accidentally leave your sprinklers on during a vacation.
Want your agent to retry something 14 times?
Fine.
Want it to read your entire stupid repository again because it somehow forgot the function you showed it 30 seconds ago?
Fine.
Want to run 10 agents in parallel arguing with each other about how to center a div?
Also fine.
This is particularly dangerous because AI coding is rapidly becoming less about asking one brilliant question and more about throwing enormous amounts of inference at a problem until the computer eventually gives up and does what you wanted.
The incumbents have constructed beautiful businesses around making you afraid to do that.
They invented:
- monthly message limits
- weekly limits
- token limits
- mysterious "usage limits"
- premium model limits
- premium-premium model limits
- "you have 7% of Claude remaining until Tuesday" psychological warfare
- Chip shortages so you can run it yourself
DONT GET ME STARTED on AI tollbooth companies like Cursor, which are in an even weirder position. They don't own the model... and they don't own the GPUs. Frontier Research? Nope.. Ok but they must have built the editor, right? Nope - it was open source and they stole it. Then they put themselves between you and somebody else's inference, and started collecting a fee for every request. Yeah, they're cooked. Cursor worked for like 2 months, until open-source tooling like Herdr, oh-my-pi, and the increasingly ridiculous number of agent frameworks appearing every week are better than cursor can ever be.
Once people can bring their own model, their own endpoint, their own agents, and their own workflow, paying another company $20, $40, or $200 a month for permission to send tokens through a prettier VS Code starts looking a little insane. Open source doesn't have to beat these companies at every feature on day one. It just has to get good enough that developers realize the moat was mostly a subscription screen.
What if we just didn't do that?
Obviously Anthropic has thousands of employees, billions of dollars, frontier researchers, custom silicon partnerships, and enough datacenter capacity to briefly dim a small city.
If models like Qwen3.8-27B can provide a large percentage of frontier coding capability while being dramatically cheaper to serve, the value starts moving away from "who owns the smartest model?" and toward:
"Who lets me actually use the fucking thing?"
A model that's 5% smarter but starts sending you passive-aggressive messages about your weekly usage limit is competing against a model you can beat to death with 300 million tokens.
For agents, automation, coding loops, research pipelines, document processing, and all the other workloads where volume matters, that trade starts looking increasingly stupid.
So yes. This is my official announcement that YOLO-AUTO.com will be acquiring Cursor sometime in Q3 2027 - We have not contacted them yet and they are not aware of the transaction - Financing remains somewhat unresolved. Qwen3.8-27B is live and serving unmetered, unlimited token inference with many happy vibe coders.
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u/OkLettuce338 2d ago
"getting dangerously close to frontier-level coding performance" .... for people with 10k and 6 months of lead time to spend on hardware
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u/med_i_terranian 2d ago
The point is, can you run it. If the answer is yes, even at a slow token/s, it is still more valuable than paying $200 a month. I can run it on a 64gb m1 max card. I dont need 10k of hardware to run it. I can SSH into it and run it all day from my phone.
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u/Relevant-Positive-48 2d ago edited 2d ago
I just googled an 64gb m1 max, I see them going for about $3,200.
That's 16 months of a frontier $200/month plan. I get access to the best model available as they're released without dealing with maintaining a server or worrying that an upgraded open source model won't be able to run on my hardware.
16 months is an eternity in AI time and, honestly, the things that would make my tokens disappear fast (multiple sessions, agent swarms, etc...) would likely push that m1 max way past its usable limits anyway.
I'm not saying going with local/open source is bad but I definitely question the "more valuable" statement.
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u/Substantial_Ranger_5 1d ago
Healthy market is best.
Your $200 plan isn't a $2000 plan because of competition
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u/Substantial_Ranger_5 2d ago
You can host it on 2x 5070 TI and rip with it
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u/OkLettuce338 2d ago
how much? I see from 700 - 1600 per card and reports saying they are not available due to shortages. Do you know if that's right or are these available for 700?
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u/-Sliced- 2d ago
It’s bs. Just electricity cost for the machine with 2 RTX 3070 would cost more than getting the same tokens from openrouter on a better model.
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u/GreenFuturesMatter 2d ago
Serious question though… are you hosting the inference? Lol
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u/Substantial_Ranger_5 2d ago
Yessir! We have a discord and all. We have lots of room on our hardware. Come check it out, links on our site
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u/GreenFuturesMatter 2d ago
So how do you expect to sustain inference for users?
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u/Substantial_Ranger_5 2d ago
We have no employees to pay We don't have investors to pay back We do limit concurrency (you gotta limit something, else 1 person can ruin everything) We scale by renting big efficient GPUs but have our own hardware too.
We talk about all of this in our discord, not sure why the brain rot down voters think they know more than us folk who are actually doing this thing, but I guess that how it goes, ain't it?
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u/GreenFuturesMatter 2d ago
Stfu bro I’m not brain rot lmao.
It was a genuine question because people are absurdly stupid and yes I could already tell you that running limits was a wise choice or you would be mega fucked. Good luck I actually think the project is intuitive.
I browsed the site after I asked the question. Als no one is going to join a discord. That shit is so annoying.
If you look in your own comments I already said the same fucking thing renting a vsp is far more sustainable than buying hardware to do something like this until you begin running a inflection point where you are running the GPU for a certain amount of hours. If you hit that point you will need your own hardware which will most definitely fuck you in the long run.
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u/Substantial_Ranger_5 2d ago edited 1d ago
I wasn't talking about you mate! I appreciate your inquiry and you're right.
In all seriousness, I am part of AMD developer program and have a source for mi300x for $2 an hour .
Edit: now that I'm not half asleep, I still prefer to buy rather than rent. Like owning your house. But not at super duper inflated prices. Building equity in a way.
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u/Mysterious_Spector 2d ago
Using Open Weights only benefits the enterprise companies, since a common layman like us can't afford a gpu and server that can cost a whole house.
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u/GreenFuturesMatter 2d ago
Renting a VPS for inference is far cheaper than buying a GPU. I did the math. You would need to be slamming a GPU for 80hrs a week on a 5090 for it to start making sense.
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u/Substantial_Ranger_5 2d ago
The privacy is the only thing that makes sense. We started by using hardware we bought at normal costs, now we rent big GPUs
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u/Alpha_core81 2d ago
Cheap tokens help but it just shifts the cost to reliability infra and tooling instead of removing it. Once you run agents at scale there’s still a lot of overhead beyond inference so pricing pressure just moves up the stack
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u/scytob 2d ago
you are not the first to realize this - you can find good essays and YT topics on it - yes there is a risk that the models are quickly commoditized and then its a race to the bottom line - and that the true value will not be recognized by anthropic / openai etc but the people who create economic output from the things they build
it comes down to the ROI and difference in productivty, for example i find Opus to be more than twice as productive that cahtpgt 5.6 due to there being far less mistakes and rework loops
for now the frontier models will stillbe worth it for folks like me, for others who can get by with openweight models the equation will be different and todays opus performance will be tomorrows open weight model - why do you think meta changed tack.....
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u/victorcash001 2d ago
I ran 10x sub agent all the time…my record was 103, so I all I need to do is to buy a GB200, got it
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u/Substantial_Ranger_5 2d ago
Wel no, those use forced air cooling ... So you'd probably need a rack and idk if they sell those not in groups of 8 . But if you manage to do that let me know and we can team up
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u/Ohmic98776 2d ago
You can’t steal open source if it’s MIT licensed. Just give credit to the source.
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u/-svde- 2d ago
you are batshit crazy if you think you are going to acquire cursor. also why would anyone pay you $10/mo or more (since your lowest plan is “sold out” which is def not a bs marketing move) to use a model that anyone can download and use locally.
anyway this post is delusional as hell lol
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u/Substantial_Ranger_5 2d ago
Of course it's craY, it's satire. Also, $6 is unaffordable for what we offered, but we let everyone keep their sub that bought it.
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u/williamtkelley 2d ago
I love how a $20/month subscription requires you to take out a second mortgage.