AI Token Counter
AI language models read text as tokens — short chunks of about four characters, or roughly three-quarters of a word. This tool estimates the token count of your text, along with words and characters, so you can plan prompts and estimate API costs. The count is an approximation, since each model tokenizes slightly differently.
Frequently asked questions
What is a token in AI models?
A token is a small chunk of text — often about four characters or three-quarters of a word — that a language model reads and generates one at a time.
How many tokens is a word?
On average one word is about 1.3 tokens, so 100 words is roughly 130 tokens, though it varies with the language and the exact words.
Why do tokens matter for AI?
Models have a token limit per request and are usually priced per token, so counting tokens helps you fit within limits and estimate costs.
Is this token count exact?
No, it is an estimate. Each model uses its own tokenizer, so the real count can differ slightly, but this gives a reliable ballpark figure.
How can I reduce token usage?
Write concise prompts, remove unnecessary words and examples, and avoid pasting large blocks of text you do not need the model to read.