A million tokens, measured in
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.
1 block = 1 PDF page
≈ 650 PDF pages
visually-processed PDF pages
When a model reads a PDF page as both text and image (preserving layout, tables and figures), each page costs ~1,500 tokens. Text-only extraction is cheaper: ~2,000 pages per million tokens.
basis: ~1,500 tokens per page with layout
PDFs are the most token-intensive common format because they carry layout, fonts, tables, and figures alongside text. Processing a PDF as a rendered page costs roughly 3x more tokens than extracting its text alone. For enterprises running AI over contracts, research papers, or financial reports, this distinction directly affects architecture decisions and cost estimates.
Everything on this page is exactly one million tokens. So the price of having a model read all of it is simply each model's per-million rate. Updated 2026-07-28.
| Model | Read all of it (input) |
|---|---|
| GPT-5.6 Sol | $5 |
| GPT-5.5 Pro | $30 |
| Claude Fable 5 | $10 |
| GPT-5.6 Terra | $2.50 |
| GPT-5.5 | $5 |
| Claude Opus 4.8 | $5 |
| Claude Sonnet 5 | $2 |
| Gemini 3.1 Pro | $2 |
| Gemini 3.5 Flash | $1.50 |
| GPT-5.6 Luna | $1 |
| Claude Haiku 4.5 | $1 |
| Gemini 3 Flash | $0.50 |
From $0.50 to $30 for the same million tokens. Try your own budget in the calculator →
Or start over with the full picture — scale, prices, and the budget calculator.