Why your embeddings bill is high — and how to cut it
Embeddings are priced low per token, which is exactly why the bill sneaks up: teams re-embed the same content, pick a larger model than they need, and embed data that never gets queried.
Stop re-embedding unchanged content
Re-embedding your whole corpus on every deploy or nightly job is the most common embeddings waste. Embed on change only, keyed by a content hash.
Right-size the embedding model
The largest embedding model is rarely worth its price for retrieval. A smaller model often gives near-identical recall at a fraction of the cost — measure before defaulting to the big one.
Turn this into your number
Drop your usage export into the free analyzer and see how much of this applies to your account — provable savings separated from estimates. Nothing is uploaded.
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