Context Window Cost Calculator
"Needle in a haystack" analysis is powerful but expensive. Estimate the cost of full-context prompts.
How This Tool Works
The Context Window Cost Calculator estimates the high-stake expenses associated with "Long Context" AI operations. Unlike standard chat prompts, large-context analysis often involves processing hundreds of thousands of tokens per request. This tool calculates the per-call and monthly projected spend based on your specific volume.
How to Use the Sizer
- Context Size: Enter the number of tokens in your document/codebase (e.g., 100,000).
- Requests per Month: How many unique queries you plan to run against this data.
- Analyze Results: Compare models like Gemini 1.5 Pro (specializing in 2M+ context) against GPT-4o and Claude 3.5.
A legal team needs to analyze 50 PDF depositions, totaling
300,000 tokens.
- Cost per Analysis (Standard): ~$1.50
- Monthly Cost (20 reviews): $30.00
While $1.50 seems small, scaling this to thousands of users or documents requires a strategy
that leverages Prompt Caching to keep margins healthy.
Long Context Intelligence FAQ
This is a benchmark for how well an AI can find a single specific fact buried in a large document. Models like Claude 3.5 and Gemini 1.5 have 99%+ accuracy even at 1 million tokens, making them reliable for heavy research.
Yes. Processing (prefilling) 1 million tokens takes time (TTFB - Time to First Token). You can expect a 15-45 second delay before the AI starts typing when using ultra-large contexts.
Typically ~300 to 400 pages of text. For comparison, the average novel is ~70k tokens, so a 128k window can hold nearly two full books at once.