TOKENS TO WORDS CONVERTER
Convert AI tokens to words, characters, and pages.
Estimate how much English text a token count represents. Useful for sizing context windows, output limits, and "how long is the response" questions for ChatGPT, Claude, Gemini, and other LLMs. For exact counts of real text, use the token counter.
Words (est.)
750
Characters (est.)
4,000
Pages (est.)
1.5
Based on English-language averages: 1 token ≈ 0.75 words ≈ 4 characters, and 500 words per page. Code, JSON, and non-English text shift these ratios.
Common token counts as text
| Tokens | Words (est.) | Characters (est.) | Pages (est.) |
|---|---|---|---|
| 100 | ~75 | ~400 | ~1 |
| 500 | ~375 | ~2,000 | ~1 |
| 1,000 | ~750 | ~4,000 | ~2 |
| 2,000 | ~1,500 | ~8,000 | ~3 |
| 4,000 | ~3,000 | ~16,000 | ~6 |
| 8,000 | ~6,000 | ~32,000 | ~12 |
| 16,000 | ~12,000 | ~64,000 | ~24 |
| 32,000 | ~24,000 | ~128,000 | ~48 |
| 100,000 | ~75,000 | ~400,000 | ~150 |
| 128,000 | ~96,000 | ~512,000 | ~192 |
| 200,000 | ~150,000 | ~800,000 | ~300 |
| 1,000,000 | ~750,000 | ~4,000,000 | ~1,500 |
Going the other direction? Use the words to tokens converter, or check what those tokens cost on the LLM pricing table.
FAQ
Tokens to words FAQ
How many words is one token?
For English text, one token averages about 0.75 words, or roughly 4 characters. Common words are often a single token, while longer or rarer words split into multiple tokens. Code, JSON, and non-English languages usually produce more tokens per word.
How many words is 1,000 tokens?
1,000 tokens is approximately 750 English words, which is about 1.5 pages at 500 words per page, or 2 to 3 double-spaced pages depending on formatting.
How much text is a 128k or 200k context window?
A 128,000-token context window holds roughly 96,000 words (about 190 pages), and a 200,000-token window holds roughly 150,000 words (about 300 pages). The model prompt, retrieved context, conversation history, and response all share that budget.
Is this conversion exact?
No. Tokens-to-words ratios are averages for English prose. The exact ratio depends on the tokenizer and the text itself. For an exact count, paste your text into the free token counter, which runs real OpenAI tokenization in your browser.