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Why your AI tool costs more than ChatGPT (and why the cheap one is cheap)

Eli Gunduz··9 min read
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Context is the expensive partThe better it knows you, the more it costs to run. Cheap and generic are the same coat.GENERICKNOWS YOU
Context is the expensive part. The better it knows you, the more it costs to run. Cheap and generic are the same coat.

You pay twenty dollars a month for ChatGPT. So when a purpose-built AI tool charges more than that, it reads like you are being overcharged for the same thing in a nicer wrapper.

You are not. They are not the same thing. One is a flat seat at a table built for a hundred million people. The other reads your file before it answers you. The whole price gap lives in the difference between those two sentences.

Here is what is actually on the meter, and why the cheap option is cheap.

Twenty dollars buys a gym membership

A flat consumer AI subscription works like a gym. One price, everyone pays the same, and the business is quietly betting that most members will not show up much. The ones who barely come in pay for the ones who live there. Hit the equipment hard enough and you get the polite version of a cap: come back in three hours.

Nothing wrong with that. ChatGPT is a good gym. But a gym does not know your name, your old knee injury, or what you are training for. It hands everyone the same equipment and wishes them luck. That is the deal, and for a lot of jobs it is the right one.

There is a meter running under all of it

Every AI tool pays per word. The flat ones included. They just hide the meter from you.

The unit is a token, which is roughly three quarters of a word. You pay for what goes in, your question and everything the tool feeds the model alongside it, and you pay again for what comes back. Output runs about five times the price of input. A flat subscription does not make that cost disappear. It absorbs it, averages it across everyone, and shows you a clean round number instead.

Quick introduction, since she is about to start talking. Sunny is your guide inside Careersy AI, the warm voice in the corner of the app who knows the hiring game from the recruiter's side and drops what is worth knowing as you go. Demystifying the machine is the whole job, so I asked her to weigh in on this one.

Sunny shares: AI is billed by the token, roughly three quarters of a word, for everything you send it and everything it sends back. A flat subscription does not skip that bill. It pays it for you and hides the receipt.

A tool that knows you has to re-read you every time

This is the part almost nobody explains, and it is the one that matters.

The expensive part of a good answer is not the model thinking harder. It is that an AI which actually knows you has to load your whole file before it can say anything useful. Your CV. Your history. The role you are chasing. The thing you told it last Tuesday. Tens of thousands of words, sent again on every single message, because the model has no memory of its own between turns. You are not paying for one reading of your story. You are paying for it to re-read your story before every reply.

The better it knows you, the more it costs to run. Which means the reverse is also true. A generic chatbot is cheap because it knows nothing about you. Cheap and generic are the same sentence wearing two different coats.

Sunny shares: Here is why a tool that knows you costs more than one that does not. It reloads your whole story before every answer. Knowing you is the expensive part. It is also the only part worth paying for.

Not all AI costs the same

There is also a spread between models, and it is wide.

At the cheap end, a model runs about a dollar per million tokens of input. At the top end, five times that, and then five times again on the way out. So a single answer from the strongest model can cost many times what the same answer costs from a fast, basic one. A well-built tool routes deliberately. It puts the cheap model on small talk and saves the expensive one for the moment it actually changes what you do next. You are still paying retail either way.

Why the cheap option is actually cheap

A flat twenty-dollar subscription has to pay for itself somehow. There are three ways it does, and you see none of them on the invoice.

The first is the limit. When you hit the wall and get told to come back later, that is not a glitch. That is the price, collected in time instead of money, usually right when you were in flow.

The second is your data. Most consumer tiers train on your chats by default, unless you go and turn it off. The discount has a source, and on the free and cheap tiers the source is often you.

The third is scale. The companies that make the models run them close to cost and average the heavy users against a hundred million light ones. A specialist tool built on top of those models pays retail on every word, and has nowhere near that many people to average across.

A tool that refuses the first two and pays retail for the third has one honest option left. It charges you for what you actually use. One heavy user can cost more than ten light ones, so a single flat price either starves the heavy users or overcharges the light ones. Flat pricing only really works when you own the model and have the whole world signed up. Most tools are neither.

Sunny shares: A flat gym makes its money on the members who never show up. A metered tool makes its money on the ones who do. Same service, opposite bet on you.

Isn't a credit just a rate limit with extra steps

Fair question, and worth answering straight, because I just spent a paragraph criticising limits.

A rate limit is a wall someone else built and will not let you see. You walk into it without warning and there is no door. A credit you can see, top up, and spend on what matters to you is the opposite arrangement. You know where you stand before you start. Nothing gets cut off mid-sentence by a number you were never shown. If a hard answer the night before a final round is worth it to you, you decide that, not a counter you cannot read.

Same idea on the surface, opposite on the thing that actually bites: who controls it, and whether you can see it coming.

What you are actually paying for

Here is the reframe. You are not paying for answers. You are paying for an AI that knows your situation and is not quietly selling it back to someone else.

The part that stayed with me from years on the hiring side: the people getting filtered hardest were usually the ones with the least margin to waste, on time or on money. So I am not going to dress a meter up as a gift. You are paying for compute, and you should know exactly what runs it.

Which is also why the real comparison is the wrong one in most people's heads. It is not fifty dollars against twenty. It is fifty dollars against another month of silence. If you are a senior engineer, one extra week sitting invisible in the market costs more than a year of any AI tool you could name. Set the price next to the cost of staying stuck, not next to the cheapest thing on the shelf.

Sunny shares: Three numbers worth knowing. A human coach who knows your story runs into the thousands. A generic chatbot that knows nothing about you is about twenty a month. A tool that knows your situation sits much closer to the chatbot than the coach. That middle option is the bargain hiding in plain sight.

How to read any AI tool's price

Next time you weigh one up, four questions sort the real cost from the sticker:

  • Is it flat or metered, and if it is flat, what is the catch: a limit, your data, or both?
  • Does it actually know you, or is it a generic model in a branded box?
  • Is it spending a premium model where it counts, or a cheap one everywhere to protect a margin?
  • And the quiet one: if it is free or nearly free, what are you paying with instead of money?

Cheap AI is cheap because it does not know you. Once you have felt the difference between a tool that read your file and one that read nobody's, the other thing stops looking like the bargain.

FAQ

Why does Careersy AI cost more than ChatGPT Plus?

They are different products. ChatGPT Plus is a flat seat that knows nothing about you and hands everyone the same generic model. Careersy AI loads your CV, your history, and the role you are chasing before every answer, and pays the model per word to do it. You are paying for an AI that knows your situation, not a cheaper one that starts from scratch each time.

What is a token, and why does it set the price?

A token is about three quarters of a word. AI is billed per token, for what you send in and for what comes back, and output costs roughly five times input. The more a tool actually knows about you, the more tokens it carries into every answer, and the more each answer costs to run. That is why a personal tool costs more than a generic chatbot.

Is a credit-based price just a rate limit in disguise?

No. A rate limit is a wall you cannot see and cannot move, and it cuts you off without warning. A credit is the opposite: you can see it, top it up, and spend it on what matters to you. You decide whether a hard answer the night before a final round is worth it, instead of a hidden counter deciding for you.

If I pay, will my chats be used to train the AI?

No. Careersy AI does not train on your conversations. Many free and cheap tools keep their price down by doing exactly that, which means the real cost is your data. Part of what a metered price buys is an AI that is not quietly selling your story back to anyone.

How should I compare the price against my situation?

Set it next to the cost of staying stuck, not next to the cheapest tool on the shelf. For a senior professional, one extra week sitting invisible in the market costs more than a year of any AI tool. The honest comparison is not twenty dollars against fifty. It is the price against another month of silence.

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