A standard 10 pages document (~5,000 words / 6,600 tokens) costs $0.0132 to ingest and $0.0182 to generate a comprehensive executive summary using Claude Sonnet 5.
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 |
|---|---|---|---|---|---|
| Claude Sonnet 5 (Current) | anthropic | $0.0132 | $0.00132 | $0.0182 | 1,000,000 |
| GPT-5.6 Terra | openai | $0.0128 | $0.00128 | $0.0188 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.016 | $0.0016 | $0.0235 | 256,000 |
| o3-mini | openai | $0.00704 | $0.00352 | $0.00924 | 200,000 |
| o4-mini | openai | $0.00704 | $0.00176 | $0.00924 | 256,000 |
| o1-mini | openai | $0.00704 | $0.00352 | $0.00924 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 10 pages document contains approximately 5,000 words, which translates to roughly 6,600 tokens using Claude Sonnet 5's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Claude Sonnet 5 has a context window of 1,000,000 tokens. A 10 pages document consumes only 0.66% 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 $0.0182. Using 24-hour async batch API queues drops this cost to $0.0091.
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 $0.00132 per turn instead of $0.0132).