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OpenAI Automation Calculator

Estimate the monthly economics of an AI-powered automation by combining run volume, model usage, and non-model operating costs. The calculator separates token expense from platform and maintenance costs, then compares the total with the labor value the workflow is expected to save.

Use it when evaluating an internal process, customer-facing workflow, or scheduled agent. The result is a planning estimate rather than a vendor quote, so enter the token rates and operational assumptions that apply to your own deployment.

Workload assumptions

runs
tokens
tokens
USD
USD
USD/mo
hours
USD
min
Result
—
Net monthly value
Token cost—
Total monthly cost—
Labor value saved—
Estimated ROI—

1. Enter workload volume
Use the expected monthly activity rather than a single peak day.

2. Add usage assumptions
Enter average token, frame, document, or conversation values that match the fields shown.

3. Set current rates
Replace the default rates with the pricing that applies to your chosen service and account.

4. Review the main result
The large result shows the primary monthly cost or capacity estimate.

5. Check the breakdown
Use the supporting figures to identify the largest cost or capacity driver.

6. Test alternatives
Change one assumption at a time to compare scenarios and identify practical optimization targets.

Monthly token cost = runs × [(input tokens × input rate) + (output tokens × output rate)] ÷ 1,000,000. Total monthly cost adds platform cost and maintenance labor. Net monthly value subtracts total cost from the labor value of time saved.

All monetary results are estimates based on the user-entered rates. Tokenization, caching, batching, minimum charges, and provider-specific billing rules can change the billed amount.

What the result means

The main figure summarizes the estimated workflow automation outcome for the assumptions entered above.

Use measured production data where possible and confirm current provider billing rules before making a purchase or pricing decision.

Given: The example uses the default values shown in the calculator.

Calculation: Given 5,000 runs, 1,200 input tokens, 350 output tokens, rates of $2.50 and $10 per million tokens, $120 platform cost, 8 maintenance hours at $45, and 3 minutes saved per run, token cost is $32.50. Total cost is $512.50, estimated labor value is $11,250, and net value is $10,737.50.

Result: The displayed result provides a planning baseline that can be recalculated with production measurements.

What should I use for workflow automation pricing?

Enter the rates that apply to the exact model, service tier, and contract you plan to use. Published prices can change, and negotiated or batch rates may differ.

Should token counts be averages or maximums?

Use representative averages for budgeting and maximums for stress testing. A useful review compares both scenarios because long-tail requests can materially raise cost.

Does this result include every operating expense?

No. The calculator includes only the fields shown on the page. Add separate allowances for engineering, observability, data storage, networking, taxes, and vendor minimums when they apply.

How can I reduce estimation error?

Measure a sample of real requests, calculate average and high-percentile usage, and update the assumptions after a pilot. Revisit the estimate whenever the prompt, model, or workflow changes.

Can I compare different models with this calculator?

Yes. Keep the workload assumptions constant, then replace the token rates or capacity assumptions for each model. Compare both total cost and whether the model meets the required quality and latency targets.