A standard 5 pages document (~2,500 words / 3,333 tokens) costs $0.001 to ingest and $0.00145 to generate a comprehensive executive summary using Codestral 2501.
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 |
|---|---|---|---|---|---|
| Codestral 2501 (Current) | mistral | $0.001 | $0.00010 | $0.00145 | 256,000 |
| 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 |
| 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 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $0.000267 | $0.000067 | $0.000387 | 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 Codestral 2501's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Codestral 2501 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 $0.00145. Using 24-hour async batch API queues drops this cost to $0.000725.
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 $0.00010 per turn instead of $0.001).