A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.00065 to ingest and $0.001137 to generate a comprehensive executive summary using Qwen3 Coder Flash (OpenRouter).
Quick answer
A 5 pages document is modeled as 2,500 words or 3,333 tokens. With Qwen3 Coder Flash (OpenRouter), ingestion costs $0.00065; a 500-token executive summary brings the modeled total to $0.001137.
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 |
|---|---|---|---|---|---|
| Qwen3 Coder Flash (OpenRouter) (Current) | qwen | $0.00065 | $0.00013 | $0.001137 | 1,000,000 |
| GPT-5.3 Codex | openai | $0.0056 | $0.00056 | $0.0126 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.000467 | $0.000047 | $0.000607 | 128,000 |
| Codestral 2501 | mistral | $0.001 | $0.00010 | $0.00145 | 256,000 |
| Grok Build 0.1 | xai | $0.003333 | $0.000667 | $0.004333 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.000667 | $0.000067 | $0.000967 | 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 Qwen3 Coder Flash (OpenRouter)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Qwen3 Coder Flash (OpenRouter) has a context window of 1,000,000 tokens. A 5 pages document consumes only 0.33% 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 $0.001137. Using 24-hour async batch API queues drops this cost to $0.000569.
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 $0.00013 per turn instead of $0.00065).