Why ratios vary
Tokenizers split text into units that may be full words, parts of words, punctuation, whitespace, or symbols. A clean English paragraph usually has fewer tokens per word than dense code, logs, or mixed-language text.
Token and word conversion
Estimate how token budgets translate into words, and use the calculator when exact text matters.
Tokens and words are related but not identical. For English prose, 1,000 words often lands around 1,300 to 1,500 tokens, but code, punctuation, JSON, non-English text, and formatting can move the ratio a lot. A tokens-to-words estimate is useful for planning, but exact prompts should still be pasted into a token calculator.
Rough English estimate: words = tokens x 0.67 to 0.77. Rough token estimate: tokens = words x 1.3 to 1.5.
Tokenizers split text into units that may be full words, parts of words, punctuation, whitespace, or symbols. A clean English paragraph usually has fewer tokens per word than dense code, logs, or mixed-language text.
Use word estimates during early planning, content scoping, or product copy review. Use exact token counting before setting API limits or estimating production cost.
For final prompts, paste the complete text into the calculator and compare cost using the pricing table instead of relying only on a generic ratio.
For English prose, 1,000 tokens is often about 670 to 770 words, but the exact value depends on language and formatting.
For English prose, 1,000 words is often around 1,300 to 1,500 tokens. Code, JSON, and non-English text can differ.
Use tokens for API limits and billing. Word counts are only a rough planning shortcut.
The main calculator at https://token-calculator.net/ is the fastest way to measure your exact text, compare model cost, and visualize token-sized text pieces in the browser.