A standard 100 pages document (~50,000 words / 66,650 tokens) costs $0.0233 to ingest and $0.0237 to generate a comprehensive executive summary using Cerebras — GPT OSS 120B.
Quick answer
A 100 pages document is modeled as 50,000 words or 66,650 tokens. With Cerebras — GPT OSS 120B, ingestion costs $0.0233; a 500-token executive summary brings the modeled total to $0.0237.
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 |
|---|---|---|---|---|---|
| Cerebras — GPT OSS 120B (Current) | cerebras | $0.0233 | $0.005832 | $0.0237 | 128,000 |
| GPT-5.6 Terra | openai | $0.128 | $0.0128 | $0.134 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.16 | $0.016 | $0.1675 | 256,000 |
| o3-mini | openai | $0.0704 | $0.0352 | $0.0726 | 200,000 |
| o4-mini | openai | $0.0704 | $0.0176 | $0.0726 | 256,000 |
| o1-mini | openai | $0.0704 | $0.0352 | $0.0726 | 128,000 |
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 Cerebras — GPT OSS 120B's tokenizer. Dense PDF tables, legal boilerplate, and OCR scans may increase this by 20–30%.
Cerebras — GPT OSS 120B has a context window of 128,000 tokens. A 100 pages document consumes only 52.07% 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 $0.0237. Using 24-hour async batch API queues drops this cost to $0.0119.
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 $0.005832 per turn instead of $0.0233).