A standard 1 page document (~500 words / 667 tokens) costs $0.00667 to ingest and $0.0217 to generate a comprehensive executive summary using GPT-4 Turbo.
Quick answer
A 1 page document is modeled as 500 words or 667 tokens. With GPT-4 Turbo, ingestion costs $0.00667; a 500-token executive summary brings the modeled total to $0.0217.
Method & trust
The page uses approximately 500 words per page, estimates tokens with the selected model tokenizer, and prices input plus a 500-token summary at the model's listed rates. OCR, tables, and formatting can increase the actual count.
Feed the entire 1 page document into context to extract fields, entities, or answer queries.
Ingest 1 page and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 1 page document into an equivalent length output.
| Model | Provider | Ingestion (1 page) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-4 Turbo (Current) | openai | $0.00667 | $0.003335 | $0.0217 | 128,000 |
| GPT-3.5 Turbo | openai | $0.000334 | $0.000083 | $0.001084 | 16,385 |
| GLM-4-32B-0414-128K (Z.ai) | zai | $0.000067 | $0.000017 | $0.000117 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 1 page document contains approximately 500 words, which translates to roughly 667 tokens using GPT-4 Turbo's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
GPT-4 Turbo has a context window of 128,000 tokens. A 1 page document consumes only 0.52% of its total window, easily fitting in a single prompt without requiring chunking or vector search.
Ingesting the document and outputting a concise 500-token executive summary costs $0.0217. Using 24-hour async batch API queues drops this cost to $0.0108.
If your workflow repeatedly queries or chats with this same 1 page document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.003335 per turn instead of $0.00667).