How many tokens is...?

≈ 133 tokens for 100 words. On average, one English word is about 1.

≈ 120 tokens for 5 sentences. A typical English sentence runs 15–20 words, which is about 20–27 tokens.

≈ 399 tokens for 3 paragraphs. A standard English paragraph is about 100 words, which is roughly 133 tokens.

≈ 665 tokens for 1 pages. A typical single-spaced page holds about 500 words, which is roughly 650 tokens.

≈ 1,330 tokens for 1,000 words. 1,000 words of English text is about 1,333 tokens, using the standard ratio of roughly 1.

≈ 1,995 tokens for 1,500 words. A short five-paragraph school essay (~500 words) is about 650 tokens, and a standard college essay (~1,500 words) is about 2,000 tokens.

≈ 119,700 tokens for 90,000 words. A typical 90,000-word novel is about 120,000 tokens.

≈ 625 tokens for 10 tweets. A full 280-character tweet (about 45–50 words) is roughly 60–70 tokens.

≈ 665 tokens for 500 words. 500 English words is about 665 tokens, using the standard average of 1.

≈ 2,660 tokens for 2,000 words. 2,000 English words is about 2,660 tokens — roughly a long-form article or a four-page document.

≈ 13,300 tokens for 10,000 words. 10,000 English words is about 13,300 tokens — the length of a long report, a thesis chapter, or a short ebook.

≈ 160 tokens for 1 emails. A typical work email of about 120 words is roughly 160 tokens.

≈ 1,596 tokens for 1 posts. A typical 1,200-word blog post is about 1,600 tokens.

≈ 732 tokens for 1 resumes. A standard one-page resume of about 550 words is roughly 730 tokens.

≈ 7,980 tokens for 1 papers. A typical research paper of about 6,000 words is roughly 8,000 tokens of body text — usually 10,000-13,000 tokens once abstracts, citations, references, and table data are included.

≈ 3,990 tokens for 20 turns. A typical 20-turn conversation with ~150 words per turn contains about 4,000 tokens of visible text — but because the model re-reads the whole history on every turn, the cumulative billed input across those 20 turns is several times higher.

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