A standard 25 pages document (~12,500 words / 16,663 tokens) costs $0.0208 to ingest and $0.0233 to generate a comprehensive executive summary using Gemini 1.5 Pro.
Feed the entire 25 pages document into context to extract fields, entities, or answer queries.
Ingest 25 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 25 pages document into an equivalent length output.
| Model | Provider | Ingestion (25 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Gemini 1.5 Pro (Current) | $0.0208 | $0.005207 | $0.0233 | 2,097,152 | |
| GPT-5.6 Terra | openai | $0.032 | $0.0032 | $0.038 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.04 | $0.004 | $0.0475 | 256,000 |
| o3-mini | openai | $0.0176 | $0.0088 | $0.0198 | 200,000 |
| o4-mini | openai | $0.0176 | $0.0044 | $0.0198 | 256,000 |
| o1-mini | openai | $0.0176 | $0.0088 | $0.0198 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 25 pages document contains approximately 12,500 words, which translates to roughly 16,663 tokens using Gemini 1.5 Pro's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Gemini 1.5 Pro has a context window of 2,097,152 tokens. A 25 pages document consumes only 0.79% 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 $0.0233. Using 24-hour async batch API queues drops this cost to $0.0117.
If your workflow repeatedly queries or chats with this same 25 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.005207 per turn instead of $0.0208).