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)
Infrastructure
Your own estimate from the vector DB provider you plan to use.
Your own estimate for document/object storage.
Total monthly estimate
$200.05
Monthly requests
20,000
Monthly input tokens
46,000,000
Monthly output tokens
6,000,000
Embedding volume (tokens)
2,500,000
LLM cost
$175
Embedding cost
$0.05
Infrastructure estimate
$25
Cost / user
$0.2001
Cost / request
$0.01
Pricing shown is example/demo data for illustration and may not reflect current provider rates. Always verify against the provider's official pricing page before making decisions. This is an estimate based on the assumptions above, not a guarantee — verify vector database and storage 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.