Pass IndexThe State of AISign in

Closed embeddings models

20 in the catalogue today. Every one with what it costs, who sells it and where it stands.

Models that turn text into a vector so it can be searched by meaning rather than by words. They are cheap — usually cents per million tokens, and often priced for input only, since nothing comes back but numbers. Two things decide the choice: the dimension of the vector, which sets what your database will cost to hold, and whether the model was trained for your language. Changing model later means re-embedding everything you have.

Models whose weights are not published and which are bought through somebody's API. You get the maker's infrastructure, their scale and their uptime, and no way to run the thing yourself or to keep it if it is withdrawn. Most of the strongest models are here, so this is less a choice than a fact about the market; the choice is which seller you buy the same model from, and the catalogue holds their prices side by side.

Wider

Closed modelsEmbeddings models