Tokens-to-Words Converter
Convert token counts to estimated words, characters, and pages — or reverse from words to tokens. Supports all major AI models including GPT, Claude, and Gemini.
The Tokens-to-Words Converter translates between the two units AI developers work with most: tokens and words. Enter a token count to get an estimated word count, character count, and page equivalent — or switch to reverse mode and enter a word count to find out how many tokens it will consume.
The conversion ratio is not fixed. Each AI model uses its own tokenizer, and the same 1000 tokens can represent significantly different amounts of text depending on the provider. GPT-5.5 uses an efficient tokenizer where 1 token averages roughly 0.75 words; other models may produce different ratios for the same content, especially with technical language, code, or non-English text.
Select the model that matches your use case to get the most accurate estimate for your specific tokenizer.
1 token ≈ 0.75 words for GPT-5.5 (Spud)
Estimated Words
752
Characters
4,000
Pages
3
Frequently Asked Questions
cl100k_base or o200k_base encoding depending on the model. Anthropic, Google, and Meta each use their own tokenization schemes. A paragraph that produces 200 tokens on GPT-5.5 might produce 210 or 190 tokens on Claude or Gemini. The difference is usually small for English prose but can be larger for code, structured data, or text in other languages.Related articles
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