
1 block = 750 words
β 750,000 words
English words
On average one token is about ΒΎ of an English word, so a million tokens works out to roughly three quarters of a million words.
basis: 1 token β 0.75 words
A million tokens, measured in
The baseline everything else is measured in: a million tokens is about 750,000 English words, a stack of 1,500 single-spaced pages, or a thousand Wikipedia articles.

1 block = 750 words
β 750,000 words
English words
On average one token is about ΒΎ of an English word, so a million tokens works out to roughly three quarters of a million words.
basis: 1 token β 0.75 words

1 block = 1 page
β 1,500 pages
single-spaced pages
At about 500 words per single-spaced page, 750,000 words fills roughly 1,500 pages β a stack of paper about 15 cm (6 in) tall.
basis: 500 words per page

1 block = 4,000 characters
β 4,000,000 characters
characters of text
One token is roughly 4 characters of English text, so a million tokens is about 4 million characters β enough to fill 8,000 standard text messages.
basis: 1 token β 4 characters

1 block = 10 paragraphs
β 10,000 paragraphs
paragraphs of text
An average paragraph is about 75 words (~100 tokens). A million tokens is roughly 10,000 paragraphs β a library of essays.
basis: ~75 words per paragraph

1 block = 50 sentences
β 50,000 sentences
sentences
The average English sentence is about 15 words (~20 tokens). A million tokens is roughly 50,000 sentences.
basis: ~15 words per sentence

1 block = 1 T&C agreement
β 125 Terms & Conditions
Terms & Conditions agreements
The average social media Terms & Conditions is about 6,000 words (~8,000 tokens). A million tokens is 125 of them β still less than what you've blindly agreed to this year.
basis: ~6,000 words per T&C

1 block = 10 manuals
β 15,000 IKEA manuals
IKEA instruction manuals
An IKEA manual averages about 50 words of actual text (~67 tokens) β they're mostly pictures of confused stick figures. A million tokens is 15,000 of them. You'd still build the shelf wrong.
basis: ~50 words per manual

1 block = 1 article
β 1,000 Wikipedia articles
average Wikipedia articles
The average Wikipedia article is about 725 words (~970 tokens), so a million tokens is roughly a thousand articles of general knowledge.
basis: ~725 words per article
Text is the native currency of large language models. Every other format β images, audio, PDFs β eventually gets converted into tokens that look a lot like plain text. Understanding how words, pages, and characters map to tokens gives you the foundation for estimating costs across every use case. Whether you are building a RAG pipeline that ingests documentation or running batch summarization over thousands of articles, these numbers are your starting point.
Everything on this page is exactly one million tokens. So the price of having a model read β or write β all of it is simply each model's per-million rate. Updated 2026-07-28.
| Model | Read all of it (input) | Write all of it (output) |
|---|---|---|
| GPT-5.6 Sol | $5 | $30 |
| GPT-5.5 Pro | $30 | $180 |
| Claude Fable 5 | $10 | $50 |
| GPT-5.6 Terra | $2.50 | $15 |
| GPT-5.5 | $5 | $30 |
| Claude Opus 4.8 | $5 | $25 |
| Claude Sonnet 5 | $2 | $10 |
| Gemini 3.1 Pro | $2 | $12 |
| Gemini 3.5 Flash | $1.50 | $9 |
| GPT-5.6 Luna | $1 | $6 |
| Claude Haiku 4.5 | $1 | $5 |
| Gemini 3 Flash | $0.50 | $3 |
From $0.50 to $180 for the same million tokens. Try your own budget in the calculator β
Or start over with the full picture β scale, prices, and the budget calculator.