A standard 1 page document (~500 words / 640 tokens) costs $0.000096 to ingest and $0.000396 to generate a comprehensive executive summary using GPT-4o mini.
Quick answer
A 1 page document is modeled as 500 words or 640 tokens. With GPT-4o mini, ingestion costs $0.000096; a 500-token executive summary brings the modeled total to $0.000396.
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-4o mini (Current) | openai | $0.000096 | $0.000048 | $0.000396 | 128,000 |
| GPT-5.6 Luna | openai | $0.000128 | $0.000013 | $0.000728 | 1,050,000 |
| GPT-5.4 mini | openai | $0.00048 | $0.000048 | $0.00273 | 256,000 |
| GPT-5.4 nano | openai | $0.000128 | $0.000013 | $0.000753 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.00066 | $0.000066 | $0.00316 | 1,000,000 |
| Claude 3.5 Haiku | anthropic | $0.000528 | $0.000053 | $0.002528 | 200,000 |
Assuming a standard single-spaced document with ~500 words per page, a 1 page document contains approximately 500 words, which translates to roughly 640 tokens using GPT-4o mini's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
GPT-4o mini has a context window of 128,000 tokens. A 1 page document consumes only 0.50% 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 $0.000396. Using 24-hour async batch API queues drops this cost to $0.000198.
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 $0.000048 per turn instead of $0.000096).