A standard 100 pages document (~50,000 words / 66,650 tokens) costs $0.10 to ingest and $0.103 to generate a comprehensive executive summary using Kimi K2.6.
Feed the entire 100 pages document into context to extract fields, entities, or answer queries.
Ingest 100 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 100 pages document into an equivalent length output.
| Model | Provider | Ingestion (100 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Kimi K2.6 (Current) | moonshot | $0.10 | $0.009998 | $0.103 | 1,000,000 |
| GPT-5.6 Terra | openai | $0.128 | $0.0128 | $0.134 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.16 | $0.016 | $0.1675 | 256,000 |
| o3-mini | openai | $0.0704 | $0.0352 | $0.0726 | 200,000 |
| o4-mini | openai | $0.0704 | $0.0176 | $0.0726 | 256,000 |
| o1-mini | openai | $0.0704 | $0.0352 | $0.0726 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 100 pages document contains approximately 50,000 words, which translates to roughly 66,650 tokens using Kimi K2.6's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Kimi K2.6 has a context window of 1,000,000 tokens. A 100 pages document consumes only 6.67% 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 $0.103. Using 24-hour async batch API queues drops this cost to $0.0515.
If your workflow repeatedly queries or chats with this same 100 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.009998 per turn instead of $0.10).