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.
1 token ≈ 0.75 words for GPT-5.4
Estimated Words
752
Characters
4,000
Pages
3
Frequently Asked Questions
How many words is 1000 tokens?
For most models (GPT, Gemini, Llama), 1000 tokens is approximately 750 words — based on the standard 1.33 tokens-per-word ratio. Claude models use a slightly different tokenizer, averaging 1.20 tokens per word, so 1000 Claude tokens ≈ 833 words. The estimate assumes typical English prose; code and non-Latin scripts will vary.
Do different AI models count tokens differently?
Yes. Each model family uses its own tokenizer that splits text into subword units differently. OpenAI (GPT) and most open-source models average about 1.33 tokens per word. Anthropic's Claude tokenizer is slightly more efficient at ~1.20 tokens per word. The difference matters when estimating prompt costs or context window usage across providers.
What is the token-to-word ratio for GPT?
GPT models (GPT-5.4 and family) use OpenAI's cl100k_base tokenizer, which produces approximately 1.33 tokens per word for standard English text. That means every 100 words ≈ 133 tokens. Highly technical content, code, or languages with complex morphology can push this ratio higher — sometimes 1.5–2.0 tokens per word.