You are not paying for the model. You are paying for the retries.

People compare AI the way they compare gym memberships. They look at the monthly number, ignore whether they will go, and then feel faintly cheated in March. ChatGPT Plus, Claude Pro, and Gemini’s paid tier all sit around twenty dollars a month. That is not a strategy. That is three ways to buy the same gym.

The bill that actually hurts is not the subscription. It is the twenty minutes you spend re-explaining the job because the first answer was generic, the second was too long, and the third invented a statistic you nearly sent to a client. Casual users do not have a “token budget.” They have a Tuesday afternoon.

What the big three actually charge you for

Each paid plan is, roughly, “use our better model without as many queues.” You are renting a faster intern, not buying a department. Free tiers exist on all of them and are perfectly fine until you hit a cap, a slower model, or a week when everyone else is also writing a slide deck.

• ChatGPT: the one you already opened. Paid is mostly speed, higher limits, and the model you wanted in the first place.
• Claude: worth paying for if you paste long documents. You are buying a careful reader, not a louder ChatGPT.
• Gemini: often already sitting inside a Google subscription you forgot you had. Check before you add a fourth card.

Prices move. Treat “about twenty dollars” as the shape of the market, not a quote. If you need a number for a spreadsheet, look at the vendor’s site the morning you buy — not a blog post, including this one.

Paying for two or three of them is rational if you actually use two or three of them. Paying for three and then pasting the same lazy sentence into all three is how you spend sixty dollars to discover they can all write a mediocre email.

The hidden line item: retries

A bad prompt is a cheap API call and an expensive human. You wait. You skim. You sigh. You add “make it more professional.” You wait again. That loop is the product, as far as the model company is concerned. For you it is just a slightly worse version of writing the thing yourself.

If a prompt takes four goes, you did not use four times the intelligence. You used four times the patience. Save the version that finally worked — the prompt, not just the email it spat out — and the next Tuesday costs one go. That is the entire economic argument for a prompt library, and it does not require you to care about tokens.

The subscription is visible. The retries are not. You will cancel the wrong one.

Where LaunchSphere sits on the bill

LaunchSphere is not a ChatGPT replacement. You still need somewhere to run the prompt. We are the layer that makes the run cheaper in time: enhance the brief, aim it at the model you will use, keep the ones that worked.

• Guest: three enhancer tries, no account. Enough to see if the rewrite is doing anything.
• Free: about 25 enhancements a month. The library is not metered. Saving is not the thing we squeeze.
• Pro: $7 a month, or $70 a year. A fair-use cap of 1,000 enhancements — not “unlimited,” on purpose.
• Teams: $9.50 per seat per month, three-seat minimum, for a shared library. You are paying for collaboration, not for a fancier sentence.

Put that next to a $20 model subscription. If you already pay for ChatGPT, LaunchSphere Pro is a third of that bill and only makes sense if you reuse prompts. If you generate a witty paragraph once a month and never look at it again, do not pay us. Paste into ChatGPT and go outside.

A simple rule

• Pay for the model you live in. One is enough for most people.
• Pay for a second model only after you have a job the first one keeps failing — long documents, a Google-shaped life, a client who standardised on Claude.
• Pay for LaunchSphere if you can point at a prompt you have used twice. If you cannot, the free tier is the product.

Cost is not the sticker. Cost is how many times you had to ask. A cheaper model with a better prompt will beat an expensive model with “please make it good.” That is not a slogan. It is why your last three chats looked the same.