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Use caseDocument AI: Cost per Page
Document workloads are usually high volume and rarely urgent, which makes them ideal for batch pricing and smaller models.
Cost per page–
Monthly cost–
Yearly cost–
Saved at 20% (our guaranteed minimum, after fee)–
Defaults use GPT-6.1 Sol's list prices ($2 input, $0.10 cached, $10 output per 1M tokens, checked October 30, 2026). Enter your own model's prices.
Where the cost goes
- Page text or images as input.
- Structured output per page.
- Re-processing when prompts change.
How to cut it
- Batch pricing at half the standard rate: most document jobs can wait.
- Smaller models for classification and simple extraction.
- Structured outputs to keep responses short.
- Cache the instructions shared by every page.
Frequently asked questions
How much does LLM document extraction cost per page?
Input tokens per page times the input price plus output tokens times the output price. Batch pricing halves it for work that can wait.
What's the cheapest way to process documents with LLMs?
Batch pricing, a smaller model for simple pages, short structured outputs and cached instructions.
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