Classic tool
AI Token Cost Calculator
Estimate tokens, words, characters and API costs for GPT-5.5, Claude and Gemini in one place.
Use this AI token cost calculator to quickly estimate how many tokens a text may consume and what that means in API pricing across major LLM providers. The tool shows words, characters, estimated tokens and a pricing table for OpenAI, Anthropic and Google.
It works well for long prompts, prompt audits, budget planning, automation tests and text reviews before sending content to GPT-5.5, Claude Opus 4.7, Claude Sonnet 4.6, Gemini 2.5 Pro and lower-cost models. If you already expect a response size, you can also enter output tokens to compare input, cached input and output costs.
All calculations run in the browser and use estimation profiles for prose, code/JSON and Chinese, Japanese or Korean text. The pricing table reflects standard public rates checked in May 2026 on the official OpenAI, Anthropic and Google AI pricing pages.
Use clear inputs to get a more useful result.
How to use AI Token Cost Calculator
Open the tool, fill in the fields with the data you already have and generate the result step by step. If you want to compare scenarios, change one field at a time so it is easier to understand the impact of each value.
When AI Token Cost Calculator is useful
The goal here is simple: Estimate tokens, words, characters and API costs for GPT-5.5, Claude and Gemini in one place. It works well for quick checks, planning, study and review before you move to a final decision or document.
What to review before using the result
Check units, labels, numbers, timing and any context that can change the meaning of the output. If the result will be used in a quote, technical task, published page or report, finish with a manual review.
Frequently asked questions
What should I prepare before using the tool?
Keep the key values, labels and units ready before filling in the fields. Cleaner inputs make the final result easier to review and compare.
Can I test different scenarios on the same page?
Yes. The safest approach is to change one field at a time, compare the outputs and note which value actually changes the final answer.
Is the result ready to use without checking it?
It is better to treat it as support. Review the output once more before using it in a quote, document, spreadsheet, technical task or published page.