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AI Token Counter | GPT, Claude, Gemini — Free
Paste a text and see the real token count, plus how much of each model's context window it uses.
A token is the unit AI models use to "read" text — it's not the same as a character or a word (in English, one word is often close to one token, but that varies a lot by language). Knowing how many tokens a text has helps you understand whether it fits in a prompt or a model's context window.
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Does it fit in which model?
Context windows last checked in 2026-09
- GPT-4o128.000
- GPT-5256.000
- Claude Sonnet200.000
- Claude Opus500.000
- Gemini2.000.000
The token count uses OpenAI's real tokenizer (the same one GPT uses), applied as an estimate for Claude and Gemini too — each company may get a slightly different number for the same text. The context windows shown are for each company's most recent models and change as new ones are released.
Context windows last checked in 2026-09
Frequently asked questions
What exactly is a token?
It's a chunk of text — sometimes a whole word, sometimes just a piece of one — that the AI model processes as a single unit. In English, a common word is often close to 1 token; other languages can need more.
Why isn't the count for Claude and Gemini exact?
Because Anthropic and Google don't publish their tokenizer in JavaScript. This tool uses OpenAI's real tokenizer for every model — a real estimate, since current AI tokenizers land in a similar size range, but not each company's exact number.
Why does the same sentence produce different token counts in different languages?
Because tokenizers are trained mostly on English text. A text in Portuguese or another language often costs more tokens than the same text in English, since its words and accents are less common in the tokenizer's training data.
What's the point of knowing how many tokens a text has?
To avoid exceeding a model's context limit (which makes the AI "forget" the start of the conversation), and for anyone paying for API usage, since pricing is usually per token, not per character.
