$0.01 per 1M tokens.
There is no free API; the cheapest paid price is $0.01 per 1M input tokens. The weights are open, so you can run it yourself.
#112 of 200 in Embeddings.
On MTEB Medical v1 · Retrieval · multilingual (10 languages), E5 Large v2 scores 44.7 vs 45 — about the same.
Through the intfloat API.
Released 2024-02-08. It is the current version in its line.
Yes, the weights are open (MIT licence).
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
E5 Large v2 is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.
Gte Base (cheaper), Multilingual E5 Large Instruct (better), Inf Retriever v1 (open weights).