A standard 50 pages document (~25,000 words / 32,000 tokens) costs $0.48 to ingest and $0.51 to generate a comprehensive executive summary using o1 (Reasoning).
Feed the entire 50 pages document into context to extract fields, entities, or answer queries.
Ingest 50 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 50 pages document into an equivalent length output.
| Model | Provider | Ingestion (50 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| o1 (Reasoning) (Current) | openai | $0.48 | $0.24 | $0.51 | 200,000 |
| GPT-5.6 Sol | openai | $0.16 | $0.016 | $0.175 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.40 | $0.04 | $0.4375 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.16 | $0.016 | $0.175 | 512,000 |
| GPT-5.5 Pro | openai | $0.96 | $0.096 | $1.05 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.64 | $0.064 | $0.68 | 1,000,000 |
Assuming a standard single-spaced document with ~500 words per page, a 50 pages document contains approximately 25,000 words, which translates to roughly 32,000 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 50 pages document consumes only 16.00% 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 $0.51. Using 24-hour async batch API queues drops this cost to $0.255.
If your workflow repeatedly queries or chats with this same 50 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.24 per turn instead of $0.48).