A standard 1 page document (~500 words / 667 tokens) costs $0.000013 to ingest and $0.000013 to generate a comprehensive executive summary using Text Embedding 3 (Small).
Quick answer
A 1 page document is modeled as 500 words or 667 tokens. With Text Embedding 3 (Small), ingestion costs $0.000013; a 500-token executive summary brings the modeled total to $0.000013.
Method & trust
The page uses approximately 500 words per page, estimates tokens with the selected model tokenizer, and prices input plus a 500-token summary at the model's listed rates. OCR, tables, and formatting can increase the actual count.
Feed the entire 1 page document into context to extract fields, entities, or answer queries.
Ingest 1 page and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 1 page document into an equivalent length output.
| Model | Provider | Ingestion (1 page) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Text Embedding 3 (Small) (Current) | openai | $0.000013 | $0.0000033 | $0.000013 | 8,191 |
| Text Embedding 3 (Large) | openai | $0.000087 | $0.000022 | $0.000087 | 8,191 |
| Text Embedding 004 | $0.000013 | $0.0000033 | $0.000013 | 8,192 |
Assuming a standard single-spaced document with ~500 words per page, a 1 page document contains approximately 500 words, which translates to roughly 667 tokens using Text Embedding 3 (Small)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Text Embedding 3 (Small) has a context window of 8,191 tokens. A 1 page document consumes only 8.14% 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 $0.000013. Using 24-hour async batch API queues drops this cost to $0.0000067.
If your workflow repeatedly queries or chats with this same 1 page document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.0000033 per turn instead of $0.000013).