aiAI Calculator Pro

Fine-Tune vs Prompt Engineering Calculator

Find the break-even point between fine-tuning and few-shot prompts.

Results update automatically as you type.

Result
Break-even at 222,222 requests
Few-shot examples add $0.000225/request; fine-tuning removes them
Few-shot tokens / request
1,500 tokens
Added cost / request
$0.000225
One-time fine-tune cost
$50.00
Break-even volume
222,222 req
Few-shot cost / month
$45.00

Few-shot examples add tokens to every request forever; fine-tuning is a one-time cost that removes them. See how many requests it takes for fine-tuning to pay for itself.

How this is calculated

This calculator uses the api cost formulas described in our methodology. All figures are estimates for planning; verify current pricing with each provider before relying on them.

Worked example (defaults)

With the default inputs above, here is the result:

Result
Break-even at 222,222 requests
Few-shot examples add $0.000225/request; fine-tuning removes them
Few-shot tokens / request
1,500 tokens
Added cost / request
$0.000225
One-time fine-tune cost
$50.00
Break-even volume
222,222 req
Few-shot cost / month
$45.00

Frequently asked questions

When is fine-tuning worth it?+

When you send the same examples on high request volume. Above the break-even volume, removing those tokens saves more than the training cost.

Are there non-cost reasons to choose one?+

Yes — prompting is faster to iterate; fine-tuning can improve reliability and latency but is less flexible.

Related calculators