Token Cost Calculator
Estimate cost from token counts and model rates—great for quickly checking whether a workflow is going to be expensive.
Token costs are predictable. The trick is translating “tokens you think you send” into tokens you actually bill.
Step 1: split input vs output
Input tokens are your prompt/context. Output tokens are the model’s responses.
Step 2: apply model rates
Cost per request = input_tokens * input_rate + output_tokens * output_rate
Then multiply by how many requests you trigger per user action.
Mini example
- input_tokens: 8,000
- output_tokens: 2,500
- requests/day: 5,000 Costs grow linearly with calls and tokens.
Next step
Use the guide pages to cut tokens at the source.
Related reading
Formulas, examples, and a cost framework to estimate your AI usage cost before you run it in production.
Estimate your monthly AI API spend using token counts, call volume, and safety caps.
Estimate LLM cost across models by comparing workflow tokens and refinement passes—not just headline token rates.
A structured approach to reduce AI API cost across models, prompts, tools, and monitoring.
