Long Document API Cost Calculator
Long document analysis can require a large context window because the model may need to process many pages, sections, or extracted text chunks at once.
Starting estimate
Input tokens
100,000
Output tokens
3,000
Preset name
long-document-analysis
These values are only a starting point. You can adjust them on the calculator page.
What counts as input tokens?
Full document text, section titles, tables converted to text, user questions, analysis instructions, and optional context.
What counts as output tokens?
Analysis, summary, extracted details, comparisons, risks, recommendations, or structured results.
What affects the cost?
Document length, context window size, model choice, output detail, number of questions, and whether the document is processed in one request or multiple smaller requests.
FAQ
How many tokens does long document analysis use?
For large files, 100,000 input and 3,000 output is a common starting point.
When do I need a large context window?
When essential content cannot be safely chunked without losing critical relationships.
Is long context always cheaper than chunking?
Not always. Chunking can reduce cost depending on retrieval strategy and question scope.
How can I reduce long document API costs?
Pre-filter sections, ask narrower questions, and avoid sending irrelevant pages.
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