Tokens and context
Tokens to words converter
Roughly how many words, characters and pages a token count is, using the vendors' own rules of thumb.
Prices read from the vendor pages on 2026-10-20. Arithmetic on list prices, not advice or a quote.
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How it works
Tokenizers split text into pieces that are not words. OpenAI's published rule of thumb is about 4 characters or 0.75 words per token for English; Anthropic states that 1M tokens is roughly 555k words on its current tokenizer. Code, other languages and numbers tokenize less efficiently, so treat these as estimates.
The formula
words = tokens * words_per_token; characters = tokens * chars_per_token; pages = words / 500Worked example
With the inputs the page opens on:
- tokens: 100000 tokens
- tokenizer: openai
gives
- words: 75,000
- characters: 400,000
- pages: 150
- words per token: 0.75
Sources
- https://platform.openai.com/tokenizer (rule of thumb: 1 token is about 4 characters or 0.75 words of English)
- https://platform.claude.com/docs/en/models/overview (1M tokens is roughly 555k words or 2.5M Unicode characters on the current tokenizer)
Prices read from each vendor's own pricing page on 2026-10-20; the page may have changed since. This is arithmetic on published list prices, not advice or a quote. Check the vendor's page before committing a budget.