A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.000067 to ingest and $0.000067 to generate a comprehensive executive summary using Text Embedding 004.
Feed the entire 5 pages document into context to extract fields, entities, or answer queries.
Ingest 5 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 5 pages document into an equivalent length output.
| Model | Provider | Ingestion (5 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Text Embedding 004 (Current) | $0.000067 | $0.000017 | $0.000067 | 8,192 | |
| Text Embedding 3 (Small) | openai | $0.000067 | $0.000017 | $0.000067 | 8,191 |
| Text Embedding 3 (Large) | openai | $0.000433 | $0.000108 | $0.000433 | 8,191 |
Assuming a standard single-spaced document with ~500 words per page, a 5 pages document contains approximately 2,500 words, which translates to roughly 3,333 tokens using Text Embedding 004's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Text Embedding 004 has a context window of 8,192 tokens. A 5 pages document consumes only 40.69% 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 $0.000067. Using 24-hour async batch API queues drops this cost to $0.000033.
If your workflow repeatedly queries or chats with this same 5 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.000017 per turn instead of $0.000067).