AIKit
RAG Tools

Embedding Cost Calculator

Estimate the cost of embedding a document set for retrieval.

0 = index once, no monthly re-indexing

Estimated cost
$0.01
Total tokens
500,000
Estimated embeddings
1,000
Cost / document
$0

How it works

Embedding cost scales with the total number of tokens you send through the embedding model — once per initial index, plus once per re-index if your content changes.

Formula
total tokens = documents × avg tokens/document × max(1, re-indexes) cost = (total tokens / 1,000,000) × price per million tokens

Frequently asked questions

What counts as a re-index?

A re-index means re-embedding your full document set again — useful when content changes frequently. Set this to 0 if you only embed once.

Do embedding costs scale with dimensions?

Pricing shown here is per token, not per dimension. Higher-dimension models can affect storage and query cost in your vector database, which this tool doesn't estimate.