Prompt Engineering Cost Calculator
Calculate the true cost of iterative prompt development including API tokens and engineer labor time.
Inputs
Results
Total development cost ($)
$125.12
≈ 8 movie tickets
API cost ($)$0.12
Labor cost ($)$125.00
Total engineer hours1.67
Total tokens consumed16,000
API cost share (%)0.1%
Production cost per call ($)$0.01
Break-even production calls20,854
Labor Cost (%)99.9%
How to Use This Calculator
- Enter the typical Prompt Tokens and Completion Tokens for your task to set the per-iteration token cost.
- Set Development Iterations — the number of prompt variations you test (typical projects run 10–50 iterations).
- Enter Input Price and Output Price per 1M tokens from your LLM provider's pricing page.
- Set Engineer Hourly Rate (fully loaded) and Minutes per Iteration to capture the labor cost alongside API spend.
- Review Total Development Cost, API vs. Labor cost split, and Break-Even Production Calls to justify prompt optimization investment.
How the result changes with Development iterations
| Development iterations | Total development cost ($) |
|---|---|
| 1,001 | $6,262.26 |
| 3,501 | $21,902.26 |
| 6,500 | $40,664.00 |
| 9,000 | $56,304.00 |
What each input means
- Prompt tokens per call
- System + user prompt tokens per iteration. Include system prompt, few-shot examples, and user query.
- Completion tokens per call
- Expected output/completion tokens per iteration.
- Development iterations
- Number of prompt variations tested during development. Typical projects: 10-50 iterations.
- Input price per 1M tokens ($)
- API cost per 1M input tokens. GPT-4o: $2.50, Claude Sonnet: $3.
- Output price per 1M tokens ($)
- API cost per 1M output tokens. GPT-4o: $10, Claude Sonnet: $15.
- Engineer hourly rate ($)
- Fully loaded hourly cost for the prompt engineer.
- Minutes per iteration
- Average time spent crafting, testing, and evaluating each prompt iteration.
What each result means
- Total development cost ($)
- Combined API + labor cost for prompt development.
- API cost ($)
- Total API token cost across all iterations.
- Labor cost ($)
- Engineer time cost across all iterations.
- Total engineer hours
- Total time spent on prompt development.
- Total tokens consumed
- Input + output tokens used across all iterations.
- API cost share (%)
- Percentage of total cost from API calls vs. labor.
- Production cost per call ($)
- API cost per production call once the prompt is finalized.
- Break-even production calls
- Number of production calls to amortize the development cost.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersPrompt tokens per call = 500, Completion tokens per call = 300, Development iterations = 20, Input price per 1M tokens ($) = 3 = 7 input(s) provided
- Calculate Total development costTotal development cost = totalApiCost + laborCost125.12 = $125.12
- Calculate API costAPI cost = apiCostPerIteration * iterations0.12 = $0.12
- Calculate Labor costLabor cost = totalHours * engineerHourlyRate125 = $125
Engine last updated .
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