Utilumo
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Guide1 min readUpdated July 1, 2026

How to count tokens in a prompt

Short answer

Paste your text into a token counter for an estimate. As a rule of thumb, one token is about 4 characters or 0.75 words of English, so 1,000 tokens is roughly 750 words. Exact counts depend on the model's tokenizer.

Why token count matters

Models read and bill by tokens, not words. Your prompt plus the reply must fit inside the model's context window, and pricing is per token. Counting first avoids surprises. See what is a token.

Estimate tokens

  1. Paste the textDrop your prompt or document into the token counter.
  2. Read the estimateIt shows an approximate token count and word count.
  3. Budget the replyLeave room in the context window for the model's output, not just your input.
Try it: Token CounterEstimate tokens for your text locally — nothing is uploaded.Open tool
Rough token rules of thumb (English)
1 token~4 chars
1 word~1.3 tokens
100 tokens~75 words
Approximate. Code, punctuation, and non-English text tokenize differently.

Why counts are only estimates

  • Each model family uses its own tokenizer, so counts differ
  • Whitespace and punctuation become tokens too
  • Rare words split into several tokens; common words are one
  • Non-English scripts and code often use more tokens per character

References

Questions

How many words is 1,000 tokens?

Roughly 750 words of English, using the rule that one token is about 0.75 words. The exact number depends on the model's tokenizer and the specific text.

Do tokens include the AI's response?

Yes. Both your input and the model's output count against the context window and against billing. Always leave headroom for the reply when sizing a prompt.

Does this send my data anywhere?

No. Utilumo's developer tools parse and transform input inside the browser tab. Nothing is uploaded, stored, or logged.

Keep reading

Explainer1 min readWhat is a token in AI language models?Language models read text as tokens, not words. Here is what a token is, why a word can be several tokens, and why counts vary by model.Read
Explainer1 min readWhat is a context window?A context window is the maximum amount of text, measured in tokens, that a language model can consider at once. Here is what it includes and why it matters.Read
Explainer1 min readHow AI token pricing worksMost AI APIs bill by the token, and input and output are often priced differently. Here is how to reason about cost and estimate it before you run a prompt.Read