AI Token Counter
Estimate how many tokens your text uses and whether it fits Claude, GPT or Gemini context windows.
Note: Every model uses its own tokenizer, so this is an estimate (typically within ~10–15%). Rule of thumb: 1 token ≈ 4 characters or ¾ of an English word. Code and non-English text often use more tokens per word.
What Is the AI Token Counter?
The AI Token Counter estimates how many tokens a piece of text will use with large language models like Claude, ChatGPT and Gemini, and shows how much of each model's context window it fills. Estimation runs locally in your browser using a BPE-style approximation.
How It Works
Paste your prompt, article or document. The token estimate, word and character counts, and context-window usage per model family update live.
When to Use It
Use it to check whether a long document fits a model's context, budget prompt sizes for an app, or trim a prompt that's running long.
Frequently Asked Questions
- Why is it an estimate?
- Each model uses its own tokenizer, so exact counts differ slightly. This approximation is typically within 10–15% — close enough for budgeting and fit checks.
- What is a token?
- Models read text in chunks called tokens — roughly 4 characters or three-quarters of an English word. Code and non-English text often use more tokens.
Last reviewed: 2026-06-27