A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.006666 to ingest and $0.009666 to generate a comprehensive executive summary using Qwen 3.8 Max (2.4T MoE).
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 |
|---|---|---|---|---|---|
| Qwen 3.8 Max (2.4T MoE) (Current) | qwen | $0.006666 | $0.000667 | $0.009666 | 256,000 |
| GPT-5.6 Sol | openai | $0.016 | $0.0016 | $0.031 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.04 | $0.004 | $0.0775 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.016 | $0.0016 | $0.031 | 512,000 |
| GPT-5.5 Pro | openai | $0.096 | $0.0096 | $0.186 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.064 | $0.0064 | $0.104 | 1,000,000 |
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 Qwen 3.8 Max (2.4T MoE)'s tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Qwen 3.8 Max (2.4T MoE) has a context window of 256,000 tokens. A 5 pages document consumes only 1.30% 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 $0.009666. Using 24-hour async batch API queues drops this cost to $0.004833.
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 $0.000667 per turn instead of $0.006666).