A standard 250 pages document (~125,000 words / 166,625 tokens) costs $0.1333 to ingest and $0.1349 to generate a comprehensive executive summary using Amazon Nova Pro.
Feed the entire 250 pages document into context to extract fields, entities, or answer queries.
Ingest 250 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 250 pages document into an equivalent length output.
| Model | Provider | Ingestion (250 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Amazon Nova Pro (Current) | amazon | $0.1333 | $0.0333 | $0.1349 | 300,000 |
| GPT-5.6 Terra | openai | $0.32 | $0.032 | $0.326 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.40 | $0.04 | $0.4075 | 256,000 |
| o3-mini | openai | $0.176 | $0.088 | $0.1782 | 200,000 |
| o4-mini | openai | $0.176 | $0.044 | $0.1782 | 256,000 |
| o1-mini | openai | $0.176 | $0.088 | $0.1782 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 250 pages document contains approximately 125,000 words, which translates to roughly 166,625 tokens using Amazon Nova Pro's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Amazon Nova Pro has a context window of 300,000 tokens. A 250 pages document consumes only 55.54% 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 $0.1349. Using 24-hour async batch API queues drops this cost to $0.0675.
If your workflow repeatedly queries or chats with this same 250 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.0333 per turn instead of $0.1333).