A standard 1 page document (~500 words / 640 tokens) costs $0.0032 to ingest and $0.0182 to generate a comprehensive executive summary using GPT-5.5 Standard.
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-5.5 Standard (Current) | openai | $0.0032 | $0.00032 | $0.0182 | 512,000 |
| GPT-5.6 Sol | openai | $0.0032 | $0.00032 | $0.0182 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.008 | $0.0008 | $0.0455 | 1,050,000 |
| GPT-5.5 Pro | openai | $0.0192 | $0.00192 | $0.1092 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0128 | $0.00128 | $0.0528 | 1,000,000 |
| o3 (Reasoning Frontier) | openai | $0.0064 | $0.00064 | $0.0264 | 1,050,000 |
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-5.5 Standard's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
GPT-5.5 Standard has a context window of 512,000 tokens. A 1 page document consumes only 0.13% 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 $0.0182. Using 24-hour async batch API queues drops this cost to $0.0091.
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 $0.00032 per turn instead of $0.0032).