A standard 10 pages document (~5,000 words / 6,665 tokens) costs $0.000233 to ingest and $0.000303 to generate a comprehensive executive summary using Amazon Nova Micro.
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 |
|---|---|---|---|---|---|
| Amazon Nova Micro (Current) | amazon | $0.000233 | $0.000058 | $0.000303 | 128,000 |
| GPT-5.6 Luna | openai | $0.00128 | $0.000128 | $0.00188 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0048 | $0.00048 | $0.00705 | 256,000 |
| GPT-5.4 nano | openai | $0.00128 | $0.000128 | $0.001905 | 128,000 |
| GPT-4o mini | openai | $0.00096 | $0.00048 | $0.00126 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0066 | $0.00066 | $0.0091 | 1,000,000 |
Assuming a standard single-spaced document with ~500 words per page, a 10 pages document contains approximately 5,000 words, which translates to roughly 6,665 tokens using Amazon Nova Micro's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Amazon Nova Micro has a context window of 128,000 tokens. A 10 pages document consumes only 5.21% 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 $0.000303. Using 24-hour async batch API queues drops this cost to $0.000152.
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 $0.000058 per turn instead of $0.000233).