AI Agent Runtime Cost Estimator

1. Enter monthly run volume
Count successful and failed runs if both consume resources.

2. Estimate average runtime
Use elapsed compute time per run, not human waiting time.

3. Set the compute rate
Enter the effective hourly infrastructure or execution charge.

4. Add token usage
Use total input and output tokens consumed by an average run.

5. Enter the token price
Use a blended cost per one million tokens when multiple models are involved.

6. Add tool charges
Include search, browser, database, messaging, or other per-run API costs.

7. Review the monthly total
Inspect each component to identify the largest cost driver.

Monthly cost = (runs × runtime minutes ÷ 60 × compute rate) + (runs × tokens per run ÷ 1,000,000 × token rate) + (runs × tool cost per run)

Where:

• Runs: agent executions per month
• Runtime minutes: average compute duration per execution
• Tokens per run: combined input and output tokens
• Tool cost: average external API charge per execution

Assumptions: Averages are applied uniformly. Retries, idle orchestration, storage, observability, and fixed platform fees should be added separately if material.

What the result means

Use the primary result together with the detailed breakdown. Scenario assumptions can materially change the estimate.

This planning tool does not replace provider documentation, a production benchmark, or professional advice.

Given: 10,000 runs per month, 2.5 minutes each, $0.12 per compute hour, 8,000 tokens per run at $5 per million tokens, and $0.01 in tool charges per run.

Calculation:
Runtime = 10,000 × 2.5 ÷ 60 = 416.67 hours.
Compute cost = 416.67 × $0.12 = $50.00.
Token cost = 10,000 × 8,000 ÷ 1,000,000 × $5 = $400.00.
Tool cost = 10,000 × $0.01 = $100.00.

Result: Estimated monthly agent runtime cost is $550.00, with token usage as the largest component.