AI & LLM
Token, cost & context tools for LLMs
Tokens to Words Converter — How Many Words Is X Tokens?
The standard conversion for GPT-family models (o200k/cl100k tokenizers) is: 1 token ≈ 0.75 words, or 1 word ≈ 1.33 tokens. So 1,000 tokens ≈ 750 words; 2,000 words ≈ 2,667 tokens; 1 million tokens ≈ 750,000 words — roughly three full-length novels. The reference sentence "The quick brown fox jumps over the lazy dog." contains 11 tokens and 8 words. Claude (Anthropic) and Gemini (Google) use different tokenizers but the 0.75 ratio is a reliable approximation across all major LLMs. Paste any text into the counter to convert exactly.
1,000 tokens ≈ 750 words (tokens × 0.75)
- 1,000 words ≈ 1,333 tokens (words ÷ 0.75)
- 2,000-word essay ≈ 2,667 tokens
- 1,000,000 tokens ≈ 750,000 words
- Reference sentence (11 tokens / 8 words): "The quick brown fox jumps over the lazy dog."
- Formula: words = tokens × 0.75 | tokens = words ÷ 0.75
Frequently asked questions
How many words is 1,000 tokens?
1,000 tokens is approximately 750 words in GPT-family models (o200k/cl100k). The exact ratio depends on text type: standard English prose averages 0.75 words per token; dense code, JSON, or non-Latin scripts use more tokens per word. Paste your text into the full calculator for a precise count.
How many tokens is a 1,000-word essay?
A 1,000-word essay in standard English is approximately 1,333 tokens (words ÷ 0.75) for GPT models. For a 5,000-word document, expect roughly 6,667 tokens. These estimates apply to GPT (o200k/cl100k); Claude and Gemini estimates are within ±10–15%.