LLM Token Counter
LLM token counter
As a rule of thumb, English text is about 4 characters (or 0.75 words) per token, so ~1,000 words ≈ 1,300 tokens. Paste your prompt below for a live token estimate and see which model context windows it fits. Exact counts differ per model — each has its own tokenizer — so treat this as a close estimate.
Est. tokens
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Words
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Characters
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Sentences
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Fits in these context windows
Frequently asked questions
How many tokens is my prompt?
Roughly text length ÷ 4 characters, or words × 1.33. A 1,000-word prompt is about 1,300 tokens. Exact counts vary by model tokenizer.
How many words is 1,000 tokens?
About 750 words (~4,000 characters) of English. Code and other languages tokenize differently.
What is a context window?
The max tokens a model handles at once — input plus output combined. Exceed it and the model can't process everything.
Estimate only. Providers don't all publish exact tokenizers, and counts differ by model and language. For billing-critical counts, use the provider's official token counter or API usage response.