Embedding Cost Calculator

About the Embedding Cost Calculator

Estimates the cost of embedding a corpus of documents from the average tokens per document, number of documents and the embedding model's per-million-token price.

How to use

Enter tokens per document, number of documents and the price per 1M tokens, then click Calculate.

Worked example

100,000 docs × 500 tokens at $0.02/1M → $1.00.

How to use this calculator

1. Count or estimate how many tokens you will embed in total.
2. Enter the embedding model price per 1000 tokens.
3. Multiply the token total, converted to thousands, by the per-1000 price.
4. Review the result and use it to compare models or budgets.

The formula explained

• \(\text{total cost}\) = the estimated cost to create the embeddings
• \(\text{total tokens}\) = the total number of input tokens you want to embed
• \(price per 1000 tokens\) = the embedding model price for each 1000 tokens

Step by step method

1. Find the total number of tokens across all text you want to embed.
2. Convert that token total into units of 1000 by dividing by 1000.
3. Multiply the result by the model's price per 1000 tokens.
4. Use the final number as your estimated embedding cost.

Worked example

Suppose you want to embed 2,500,000 tokens using a model that costs 0.02 dollars per 1000 tokens.

1. First convert tokens to thousands: \(2,500,000 \div 1000 = 2,500\).
2. Then multiply by the price: \(2,500 \times 0.02 = 50\).

Tips and common mistakes

• Make sure you are using tokens, not words. Token counts are usually higher than word counts.
• Check whether your data includes duplicates, because repeated text increases cost.
• Use the correct model price, since embedding rates can differ by model.
• If you are planning a large project, estimate a little above the minimum to leave room for overhead.

Frequently asked questions