A standard 250 pages document (~125,000 words / 166,625 tokens) costs $0.0125 to ingest and $0.0126 to generate a comprehensive executive summary using Gemini 2.0 Flash-Lite.
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 |
|---|---|---|---|---|---|
| Gemini 2.0 Flash-Lite (Current) | $0.0125 | $0.003124 | $0.0126 | 1,048,576 | |
| GPT-5.6 Luna | openai | $0.032 | $0.0032 | $0.0326 | 1,050,000 |
| GPT-5.4 mini | openai | $0.12 | $0.012 | $0.1223 | 256,000 |
| GPT-5.4 nano | openai | $0.032 | $0.0032 | $0.0326 | 128,000 |
| GPT-4o mini | openai | $0.024 | $0.012 | $0.0243 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.165 | $0.0165 | $0.1675 | 1,000,000 |
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 Gemini 2.0 Flash-Lite's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Gemini 2.0 Flash-Lite has a context window of 1,048,576 tokens. A 250 pages document consumes only 15.89% 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 $0.0126. Using 24-hour async batch API queues drops this cost to $0.006323.
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 $0.003124 per turn instead of $0.0125).