A standard 25 pages document (~12,500 words / 16,663 tokens) costs $0.0112 to ingest and $0.0129 to generate a comprehensive executive summary using Kimi K2.7 Code (OpenRouter).
Feed the entire 25 pages document into context to extract fields, entities, or answer queries.
Ingest 25 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 25 pages document into an equivalent length output.
| Model | Provider | Ingestion (25 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Kimi K2.7 Code (OpenRouter) (Current) | moonshot | $0.0112 | $0.003166 | $0.0129 | 262,144 |
| GPT-5.3 Codex | openai | $0.028 | $0.0028 | $0.035 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.002333 | $0.000233 | $0.002473 | 128,000 |
| Codestral 2501 | mistral | $0.004999 | $0.0005 | $0.005449 | 256,000 |
| Grok Build 0.1 | xai | $0.0167 | $0.003333 | $0.0177 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.003333 | $0.000333 | $0.003633 | 128,000 |
Assuming a standard single-spaced document with ~500 words per page, a 25 pages document contains approximately 12,500 words, which translates to roughly 16,663 tokens using Kimi K2.7 Code (OpenRouter)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Kimi K2.7 Code (OpenRouter) has a context window of 262,144 tokens. A 25 pages document consumes only 6.36% 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 $0.0129. Using 24-hour async batch API queues drops this cost to $0.006432.
If your workflow repeatedly queries or chats with this same 25 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.003166 per turn instead of $0.0112).