Embedding Cost Calculator
Calculate embedding API costs and storage requirements across OpenAI, Cohere, and self-hosted models.
Inputs
Results
Initial embedding cost ($)
$1
Annual embedding cost ($)
$3.4
Monthly update cost ($)$0.2
Total tokens (millions)50
Vector storage (MB)292.97
Cost per 1K docs ($)$0.02
Vector count50,000
Effective dimensions1,536
Default Dims1,536
Total Storage GB0.29
How to Use This Calculator
- Enter the Number of Documents (or text chunks) you need to embed — e.g., 50,000 for a mid-size knowledge base.
- Set the average Tokens per Document (a typical page is ~500 tokens) and select the Embedding Model.
- Review Initial Embedding Cost for the one-time indexing expense and Vector Storage in MB to size your database.
- Enter Batch Updates per Month to account for re-embedding as your corpus changes.
- Check Annual Embedding Cost and Cost per 1K Docs to compare self-hosted vs. API-based embedding strategies.
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