How This Calculator Works
AI Token Cost turns the inputs into a visible formula-based estimate. Use the result as a planning check, then compare a lower, expected, and higher scenario when the input values are uncertain.
Use the AI token cost calculator to estimate API spend before launching prompts, agents, chatbots, or batch jobs.
The calculator multiplies per-request input and output tokens by request volume, then applies per-million-token prices.
Formula
Cost = input tokens / 1,000,000 x input price + output tokens / 1,000,000 x output price.
Example Calculation
10,000 requests with 1,200 input tokens and 500 output tokens at $0.50/$1.50 per million costs about $13.50.
When to Use This Calculator
- Budget an AI feature
- Compare prompt sizes
- Estimate batch processing costs
Practical Scenarios
- Use the calculator before a decision depends on the number, then write down the inputs that would be easiest to verify. Use case: Budget an AI feature.
- Rerun the estimate when the most uncertain input changes, so the result shows a useful range instead of one brittle answer. Start with AI Token Cost, then compare the changed result with the original.
- Use the related calculators when the result affects a wider cost, schedule, or planning workflow. This is especially useful when you need to estimate batch processing costs.
Tips
- Model prices change, so verify current pricing
- Track output tokens separately
- Add buffers for retries and tool calls
Common Mistakes
- Counting only prompt tokens
- Ignoring failed or retried requests
- Using prototype prompts as if they were final
- Using one unusually good input as if it were the normal case.
- Mixing units, time periods, or assumptions from different scenarios.
Assumptions and Limitations
The AI Token Cost Calculator is most useful when every input belongs to the same real-world scenario, unit, and time period. Review the formula, assumptions, and related calculators before using the result in a decision.
- Local rules, fees, availability, timing, and real-world conditions can change the result.
- The result is an estimate and should be checked before making an important decision.
- Use realistic low, expected, and high scenarios when uncertainty matters.
AI Token Cost uses AI, tokens, API cost and LLM as the main context for the formula, example, and assumptions.