AISynq
AI unit economics

How much does AI code review cost per developer?

Reviewing pull requests for bugs and leaving comments.

The short answer

Per call$0.163
Per user, per month$9.75
Of a $30.00 price33%

On Claude Opus 5, at 25,000 input and 1,500 output tokens per call. Twenty-five thousand input tokens is a medium pull request plus the surrounding files needed to review it honestly. Sixty calls a month is roughly three pull requests a day per developer.

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.

Frontier tier. Use it where the task is genuinely hard, not as a default.

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$0.163
Per user, per month$9.75
That is this much of what they pay you33%
You can afford to spend$9.00

Using 100% of what you can afford

The full answer

This costs more than you can afford. See by how much, and what to change.

  • 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

Both halves, unusually. Code review needs a lot of context to be worth reading, and it produces long output because a useful review comment explains itself. This is one of the few use cases where the output tokens genuinely matter.

Where the estimate goes wrong

Reviewing every push rather than every pull request. The volume difference is large and the marginal value of reviewing an intermediate commit is close to zero. Where the cost comes out too high, the trigger condition is usually the lever rather than the model.

What this does not price

Code review is the use case where the cheap model is most often not good enough, and where the difference shows up as findings you never see rather than as visible errors. Judge it on real pull requests with known bugs, not on whether the output reads well.

Other features people cost

Next step

If automated code review 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.