A standard 25 pages document (~12,500 words / 16,000 tokens) costs $0.24 to ingest and $0.27 to generate a comprehensive executive summary using o1 (Reasoning).
Feed the entire 25 pages document into context to extract fields, entities, or answer queries.
Ingest 25 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 25 pages document into an equivalent length output.
| Model | Provider | Ingestion (25 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| o1 (Reasoning) (Current) | openai | $0.24 | $0.12 | $0.27 | 200,000 |
| GPT-5.6 Sol | openai | $0.08 | $0.008 | $0.095 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.20 | $0.02 | $0.2375 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.08 | $0.008 | $0.095 | 512,000 |
| GPT-5.5 Pro | openai | $0.48 | $0.048 | $0.57 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.32 | $0.032 | $0.36 | 1,000,000 |
Assuming a standard single-spaced document with ~500 words per page, a 25 pages document contains approximately 12,500 words, which translates to roughly 16,000 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 25 pages document consumes only 8.00% 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 $0.27. Using 24-hour async batch API queues drops this cost to $0.135.
If your workflow repeatedly queries or chats with this same 25 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.12 per turn instead of $0.24).