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 Together AI — DeepSeek V4.
Quick answer
A 50 pages document is modeled as 25,000 words or 33,325 tokens. With Together AI — DeepSeek V4, ingestion costs $0.0167; a 500-token executive summary brings the modeled total to $0.0174.
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 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 |
|---|---|---|---|---|---|
| Together AI — DeepSeek V4 (Current) | together | $0.0167 | $0.004166 | $0.0174 | 1,000,000 |
| GPT-5.6 Terra | openai | $0.064 | $0.0064 | $0.07 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.08 | $0.008 | $0.0875 | 256,000 |
| o3-mini | openai | $0.0352 | $0.0176 | $0.0374 | 200,000 |
| o4-mini | openai | $0.0352 | $0.0088 | $0.0374 | 256,000 |
| o1-mini | openai | $0.0352 | $0.0176 | $0.0374 | 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 Together AI — DeepSeek V4's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Together AI — DeepSeek V4 has a context window of 1,000,000 tokens. A 50 pages document consumes only 3.33% 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).