A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.001833 to ingest and $0.002928 to generate a comprehensive executive summary using DeepSeek R1 (Reasoner).
Quick answer
A 5 pages document is modeled as 2,500 words or 3,333 tokens. With DeepSeek R1 (Reasoner), ingestion costs $0.001833; a 500-token executive summary brings the modeled total to $0.002928.
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 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 |
|---|---|---|---|---|---|
| DeepSeek R1 (Reasoner) (Current) | deepseek | $0.001833 | $0.000467 | $0.002928 | 64,000 |
| GPT-5.6 Terra | openai | $0.0064 | $0.00064 | $0.0124 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.008 | $0.0008 | $0.0155 | 256,000 |
| o3-mini | openai | $0.00352 | $0.00176 | $0.00572 | 200,000 |
| o4-mini | openai | $0.00352 | $0.00088 | $0.00572 | 256,000 |
| o1-mini | openai | $0.00352 | $0.00176 | $0.00572 | 128,000 |
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 DeepSeek R1 (Reasoner)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
DeepSeek R1 (Reasoner) has a context window of 64,000 tokens. A 5 pages document consumes only 5.21% 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 $0.002928. Using 24-hour async batch API queues drops this cost to $0.001464.
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 $0.000467 per turn instead of $0.001833).