- Set the workload
Enter generation jobs and any other volume assumptions that define the period or batch.
- Add usage assumptions
Complete the remaining usage fields, keeping token, duration, or size units consistent with their labels.
- Enter current rates
Use the current prices for the exact model, endpoint, quality, and processing tier you plan to use.
- Review the estimate
Read the main result and the supporting breakdown to see the largest cost or capacity driver.
- Test another scenario
Change one assumption at a time or select Reset to restore the default example values.
OpenAI Image Calculator
The OpenAI Image Calculator estimates generation cost and output storage for an image workload. Instead of assuming a specific model price, it accepts the current per-image cost for the selected size and quality.
It is useful for campaign planning, product mockups, creative applications, and batch-generation pipelines. The output separates requested images, expected successful images, generation spend, and approximate file storage.
Calculation inputs
jobs
images
%
USD
MB
%
Result
—
Estimated result
Billed generations—
Expected usable images—
Output storage—
Spend per usable image—
Billed generations = Jobs × Images per job × (1 + retry overhead ÷ 100). Spend = Billed generations × cost per image. Usable images = Jobs × Images per job × success rate.
The calculator applies the entered values directly and displays rounded results for planning.
What the result means
The result estimates generation spend including the retry allowance entered by the user.
Pricing and file size vary by model, quality, dimensions, format, and whether edits or image inputs are used.
Given: Example assumptions
Calculation: For 1,000 one-image jobs, 5% retry overhead, a $0.07 generation cost, 95% success, and 2.5 MB files, billed generations are 1,050 and spend is $73.50. Expected usable output is 950 images requiring about 2.32 GB.
Result: The displayed result follows the same formula and rounding logic.
Where should I get cost per image?
Use the current model documentation for the selected size and quality, or derive an effective cost from token-based image pricing.
Are failed safety checks billed?
Billing behavior can depend on the endpoint and failure type. Use measured production data for retry overhead when available.
Does this calculate image input cost for edits?
No. Add image-input or text-token charges separately if the model bills those components.
Why use a success rate?
It estimates how many outputs meet your operational or creative acceptance criteria, not only whether the API call succeeded.
Is storage shown in decimal GB?
The calculator divides megabytes by 1,024 for a practical binary-style estimate; actual provider billing units may differ.