What Can You Do With 1 Million Tokens? 16 Real Examples
A million tokens is the standard unit for AI API pricing. But what does that actually mean in practice? Below we break it down into 16 concrete examples across eight categories — from plain text and novels to code, images, and hours of speech. If you're not sure what a token is, start with our guide to AI tokens.
Plain Text
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
≈ 750,000 words
English words
On average one token is about ¾ of an English word, so a million tokens works out to roughly three quarters of a million words.
basis: 1 token ≈ 0.75 words
1 block = 1 page
≈ 1,500 pages
single-spaced pages
At about 500 words per single-spaced page, 750,000 words fills roughly 1,500 pages — a stack of paper about 15 cm (6 in) tall.
basis: 500 words per page
1 block = 1 article
≈ 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
See more: Plain Text in detail →
Books
The most intuitive yardstick there is. A million tokens holds about eight novels, 96% of the Bible, the full Lord of the Rings with room for a reread, but only 42% of Game of Thrones.
1 spine = 1 novel
≈ 8 novels
average novels
A typical novel runs about 90,000 words (~120,000 tokens), so a million tokens holds roughly eight of them.
basis: 90,000 words per novel
the 7 books — filled part = 1M tokens
≈ 69% of Harry Potter
of the complete 7-book series
The full Harry Potter series is 1,084,170 words — about 1.45 million tokens. A million tokens gets you past Order of the Phoenix and into the early chapters of Half-Blood Prince.
basis: Series total 1,084,170 words
2 copies — filled part = 1M tokens
≈ 1.3 × War and Peace
copies of War and Peace
Tolstoy’s epic is about 587,000 words in English translation (~780,000 tokens). A million tokens covers it with room for a second read of the first third.
basis: 587,000 words per copy
1 spine = 1 screenplay
≈ 37 movie screenplays
feature-film screenplays
A feature screenplay is around 20,000 words (~27,000 tokens), so a million tokens holds about 37 movies’ worth of scripts.
basis: 20,000 words per screenplay
See more: Books in detail →
Code
Code is denser than prose per line but shorter per idea: a million tokens is roughly 100,000 lines — a real mid-sized codebase, or the original Doom engine twice over.
See more: Code in detail →
Images
Vision models pay per image in tokens too. At ~1,000 tokens per detailed image, a million tokens is a photo library of about a thousand pictures, read and understood.
See more: Images in detail →
PDFs
PDFs are expensive to read properly: preserving layout, tables and figures costs ~1,500 tokens a page. A million tokens digests about 650 pages of dense reports.
See more: PDFs in detail →
Conversations
Chat is tiny per message and huge in aggregate: a million tokens is about 75,000 messages — six years of daily texting fed into a model in one go.
See more: Conversations in detail →
Speech & Audio
Spoken language runs ~150 words a minute, so a million tokens transcribes about 83 hours of talking — a hundred podcast episodes or three and a half days of speech.
1 bar = 1 hour of talking
≈ 83 hours of speech
hours of transcribed speech
People speak about 150 words per minute (~200 tokens/min), so a million tokens transcribes about 83 hours — three and a half days of non-stop talking.
basis: 150 words per minute
1 block = 1 episode
≈ 110 podcast episodes
45-minute episodes
At ~9,000 tokens per 45-minute episode transcript, a million tokens holds about 110 episodes — a full year of a weekly show, twice over.
basis: 45 min per episode, 150 wpm
1 bar = 2 songs
≈ 2,500 songs
songs’ worth of lyrics
Song lyrics average ~300 words (~400 tokens), so a million tokens is the lyrics to about 2,500 songs — over six days of continuous music.
basis: ~300 words per song
See more: Speech & Audio in detail →
What Does It Cost?
The price of a million tokens varies enormously depending on which model you choose. The cheapest option right now is Gemini 3 Flash at $0.50 per million input tokens, while the most expensive is GPT-5.5 Pro at $30 per million input tokens. That means the same million tokens of text can cost anywhere from a few cents to tens of dollars, depending on the model's capability tier.
Use our token calculator to estimate costs for your specific use case, or check out the full pricing comparison for 2026 for a side-by-side breakdown of every major model.
Try the calculator
Pick a model, set a budget, and see exactly how many words, novels, or lines of code your money buys.
Open the token calculator →
📱 Social & Email
The internet in small units: a million tokens is roughly 14,000 max-length posts or 10,000 work emails — several years of a very active feed or inbox.
1 block = 10 posts
🐦≈ 14,000 max-length posts
280-character posts
A maxed-out 280-character post is about 70 tokens, so a million tokens is roughly 14,000 of them — about 10 years of posting four times a day.
basis: 280 chars ≈ 70 tokens
1 block = 10 emails
📧≈ 10,000 work emails
typical work emails
The average work email body runs about 75 words (~100 tokens). A million tokens is ten thousand of them — several years of a busy inbox.
basis: ~100 tokens per email
See more: Social & Email in detail →