A standard 10 pages document (~5,000 words / 6,665 tokens) costs $0.000333 to ingest and $0.000408 to generate a comprehensive executive summary using Cohere Command R7B.
Quick answer
A 10 pages document is modeled as 5,000 words or 6,665 tokens. With Cohere Command R7B, ingestion costs $0.000333; a 500-token executive summary brings the modeled total to $0.000408.
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 10 pages document into context to extract fields, entities, or answer queries.
Ingest 10 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 10 pages document into an equivalent length output.
| Model | Provider | Ingestion (10 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Cohere Command R7B (Current) | cohere | $0.000333 | $0.000083 | $0.000408 | 128,000 |
| GPT-5.6 Luna | openai | $0.00128 | $0.000128 | $0.00188 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0048 | $0.00048 | $0.00705 | 256,000 |
| GPT-5.4 nano | openai | $0.00128 | $0.000128 | $0.001905 | 128,000 |
| GPT-4o mini | openai | $0.00096 | $0.00048 | $0.00126 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0066 | $0.00066 | $0.0091 | 1,000,000 |
Assuming a standard single-spaced document with ~500 words per page, a 10 pages document contains approximately 5,000 words, which translates to roughly 6,665 tokens using Cohere Command R7B's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Cohere Command R7B has a context window of 128,000 tokens. A 10 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 $0.000408. Using 24-hour async batch API queues drops this cost to $0.000204.
If your workflow repeatedly queries or chats with this same 10 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.000083 per turn instead of $0.000333).