A standard 10 pages document (~5,000 words / 6,400 tokens) costs $0.128 to ingest and $0.168 to generate a comprehensive executive summary using o3-pro (Frontier Reasoning).
Quick answer
A 10 pages document is modeled as 5,000 words or 6,400 tokens. With o3-pro (Frontier Reasoning), ingestion costs $0.128; a 500-token executive summary brings the modeled total to $0.168.
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 10 pages document into context to extract fields, entities, or answer queries.
Ingest 10 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 10 pages document into an equivalent length output.
| Model | Provider | Ingestion (10 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| o3-pro (Frontier Reasoning) (Current) | openai | $0.128 | $0.0128 | $0.168 | 1,000,000 |
| GPT-5.6 Sol | openai | $0.032 | $0.0032 | $0.047 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.08 | $0.008 | $0.1175 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.032 | $0.0032 | $0.047 | 512,000 |
| GPT-5.5 Pro | openai | $0.192 | $0.0192 | $0.282 | 512,000 |
| o3 (Reasoning Frontier) | openai | $0.064 | $0.0064 | $0.084 | 1,050,000 |
Assuming a standard single-spaced document with ~500 words per page, a 10 pages document contains approximately 5,000 words, which translates to roughly 6,400 tokens using o3-pro (Frontier Reasoning)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
o3-pro (Frontier Reasoning) has a context window of 1,000,000 tokens. A 10 pages document consumes only 0.64% 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 $0.168. Using 24-hour async batch API queues drops this cost to $0.084.
If your workflow repeatedly queries or chats with this same 10 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.0128 per turn instead of $0.128).