A standard 50 pages document (~25,000 words / 33,325 tokens) costs $0.0167 to ingest and $0.0174 to generate a comprehensive executive summary using GPT-3.5 Turbo.
Feed the entire 50 pages document into context to extract fields, entities, or answer queries.
Ingest 50 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 50 pages document into an equivalent length output.
| Model | Provider | Ingestion (50 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-3.5 Turbo (Current) | openai | $0.0167 | $0.004166 | $0.0174 | 16,385 |
| GPT-4 Turbo | openai | $0.3333 | $0.1666 | $0.3483 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 50 pages document contains approximately 25,000 words, which translates to roughly 33,325 tokens using GPT-3.5 Turbo's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
GPT-3.5 Turbo has a context window of 16,385 tokens. A 50 pages document consumes only 203.39% 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 $0.0174. Using 24-hour async batch API queues drops this cost to $0.008706.
If your workflow repeatedly queries or chats with this same 50 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.004166 per turn instead of $0.0167).