A standard 500 pages document (~250,000 words / 320,000 tokens) costs $4.80 to ingest and $4.83 to generate a comprehensive executive summary using o1 (Reasoning).
Feed the entire 500 pages document into context to extract fields, entities, or answer queries.
Ingest 500 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 500 pages document into an equivalent length output.
| Model | Provider | Ingestion (500 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| o1 (Reasoning) (Current) | openai | $4.80 | $2.40 | $4.83 | 200,000 |
| GPT-5.6 Sol | openai | $1.60 | $0.16 | $1.615 | 1,050,000 |
| GPT-5.6 Cyber | openai | $4.00 | $0.40 | $4.038 | 1,050,000 |
| GPT-5.5 Standard | openai | $1.60 | $0.16 | $1.615 | 512,000 |
| GPT-5.5 Pro | openai | $9.60 | $0.96 | $9.69 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $6.40 | $0.64 | $6.44 | 1,000,000 |
Assuming a standard single-spaced document with ~500 words per page, a 500 pages document contains approximately 250,000 words, which translates to roughly 320,000 tokens using o1 (Reasoning)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
o1 (Reasoning) has a context window of 200,000 tokens. A 500 pages document consumes only 160.00% 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 $4.83. Using 24-hour async batch API queues drops this cost to $2.415.
If your workflow repeatedly queries or chats with this same 500 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $2.40 per turn instead of $4.80).