A standard 25 pages document (~12,500 words / 16,663 tokens) costs $0.000833 to ingest and $0.000933 to generate a comprehensive executive summary using Together AI — GPT-OSS-20B.
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 |
|---|---|---|---|---|---|
| Together AI — GPT-OSS-20B (Current) | together | $0.000833 | $0.000208 | $0.000933 | 32,768 |
| GPT-5.6 Luna | openai | $0.0032 | $0.00032 | $0.0038 | 1,050,000 |
| GPT-5.4 mini | openai | $0.012 | $0.0012 | $0.0143 | 256,000 |
| GPT-5.4 nano | openai | $0.0032 | $0.00032 | $0.003825 | 128,000 |
| GPT-4o mini | openai | $0.0024 | $0.0012 | $0.0027 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0165 | $0.00165 | $0.019 | 1,000,000 |
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 Together AI — GPT-OSS-20B's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Together AI — GPT-OSS-20B has a context window of 32,768 tokens. A 25 pages document consumes only 50.85% 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 $0.000933. Using 24-hour async batch API queues drops this cost to $0.000467.
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 $0.000208 per turn instead of $0.000833).