AISynq
AI unit economics

How much does AI content generation cost per user?

Drafting marketing copy, product descriptions or long-form text.

The short answer

Per call$0.043
Per user, per month$2.18
Of a $29.00 price7.5%

On Claude Sonnet 5, at 2,000 input and 2,500 output tokens per call. This is the one shape where output exceeds input. A short brief goes in and a long draft comes out, which inverts the usual cost profile.

Your numbers

Now put your own in

The fields open with the profile above. Change them to match your feature and the read updates as you type.

Your numbers

Rough numbers are fine. You are checking whether you are near the line, not being exact.

The usual right answer for production features. Near-frontier quality at a fraction of the cost.

Everything you send it

What it sends back

How often one user uses it

$
%

List prices as at 19 August 2026

What it costs you

Each use costs$0.043
Per user, per month$2.18
That is this much of what they pay you7.5%
You can afford to spend$7.25

Using 30% of what you can afford

The full answer

It pays for itself. See how much room you actually have.

  • The point at which this stops paying for itself
  • What it costs if people use it 2x, 5x or 10x more than you think
  • The same feature priced on every model, cheapest first
  • What to change, in the order worth changing it

We send you a copy, then roughly two emails a month. One click to stop.

What drives the cost

Output tokens, and output is the expensive half on every model in the table, typically by five or six times. A content feature on a frontier model is the fastest way to build something that cannot pay for itself.

Where the estimate goes wrong

Regeneration. Users do not accept the first draft, they press the button again, and the second and third generations cost exactly as much as the first. Multiply your call estimate by the number of attempts a real user makes before they keep one, which is rarely one.

What this does not price

Content features attract heavy users who generate far more than the median, and unlike support volume this is not a tail you can ignore, because those users are usually your advocates. If the verdict is marginal, model the ninetieth percentile rather than the average before deciding.

Other features people cost

Next step

If content generation is on your roadmap and the number here made you pause, that is exactly the conversation worth having before an engineer starts.

Book the call

A 30-minute call. No deck.