A standard 100 pages document (~50,000 words / 66,650 tokens) costs $0.02 to ingest and $0.0204 to generate a comprehensive executive summary using Codestral 2501.
Quick answer
A 100 pages document is modeled as 50,000 words or 66,650 tokens. With Codestral 2501, ingestion costs $0.02; a 500-token executive summary brings the modeled total to $0.0204.
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 100 pages document into context to extract fields, entities, or answer queries.
Ingest 100 pages and generate a structured 500-token executive summary with key takeaways.
Translate or reformat the entire 100 pages document into an equivalent length output.
| Model | Provider | Ingestion (100 pages) | Cached Ingestion | Summary Cost | Context Limit |
|---|---|---|---|---|---|
| Codestral 2501 (Current) | mistral | $0.02 | $0.002 | $0.0204 | 256,000 |
| GPT-5.3 Codex | openai | $0.112 | $0.0112 | $0.119 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.009331 | $0.000933 | $0.009471 | 128,000 |
| Grok Build 0.1 | xai | $0.0667 | $0.0133 | $0.0677 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.0133 | $0.001333 | $0.0136 | 128,000 |
| GLM-5.3 (Z.ai) | zai | $0.0933 | $0.0173 | $0.0955 | 1,048,576 |
Assuming a standard single-spaced document with ~500 words per page, a 100 pages document contains approximately 50,000 words, which translates to roughly 66,650 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 100 pages document consumes only 26.04% 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 $0.0204. Using 24-hour async batch API queues drops this cost to $0.0102.
If your workflow repeatedly queries or chats with this same 100 pages document, prompt caching reduces subsequent turn input costs by up to 90% (to $0.002 per turn instead of $0.02).