A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.000667 to ingest and $0.000867 to generate a comprehensive executive summary using AI21 Jamba 1.5 Mini.
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 |
|---|---|---|---|---|---|
| AI21 Jamba 1.5 Mini (Current) | ai21 | $0.000667 | $0.000167 | $0.000867 | 256,000 |
| GPT-5.6 Luna | openai | $0.00064 | $0.000064 | $0.00124 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0024 | $0.00024 | $0.00465 | 256,000 |
| GPT-5.4 nano | openai | $0.00064 | $0.000064 | $0.001265 | 128,000 |
| GPT-4o mini | openai | $0.00048 | $0.00024 | $0.00078 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0033 | $0.00033 | $0.0058 | 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 AI21 Jamba 1.5 Mini's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
AI21 Jamba 1.5 Mini 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 $0.000867. Using 24-hour async batch API queues drops this cost to $0.000433.
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 $0.000167 per turn instead of $0.000667).