RAG Tools
AI Project Cost Calculator
Estimate the full monthly operating cost of an AI application.
Application
RAG inputs below are included in the estimate.
Usage
RAG (optional)
Model
Infrastructure
Enter your own estimates from the providers you plan to use — infrastructure pricing varies too much by vendor and region to assume a default.
Total monthly estimate
₹22,447.28
Monthly requests
20,000
Monthly input tokens
46,000,000
Monthly output tokens
6,000,000
Embedding volume (tokens)
2,500,000
LLM cost
₹16,712.5
Embedding cost
₹4.78
Infrastructure estimate
₹5,730
Cost / user
₹22.45
Cost / request
₹1.12
Pricing was verified against each provider's official pricing page on the date shown per model, then converted to INR at an approximate market exchange rate. Provider pricing changes without notice — confirm current rates before making a purchasing decision. This is an estimate based on the assumptions above, not a guarantee — verify infrastructure costs against your provider's actual pricing.
How it works
This tool combines the LLM cost, embedding cost, and your own infrastructure estimates into one monthly total, scaled by your expected usage.
Formula
monthly requests = monthly users × requests/user/month
total cost = LLM cost + embedding cost + infrastructure estimate
cost / user = total cost / monthly users
cost / request = total cost / monthly requestsFrequently asked questions
Where do the vector database and storage numbers come from?
You provide them. Vector database and storage pricing vary enormously by provider and configuration, so rather than guess, this tool asks for your own monthly estimate and folds it into the total.
Is this a guarantee of what I'll actually pay?
No. This is an estimate based on the assumptions you enter — real usage patterns, retries, caching, and provider-side discounts can all change actual cost.