$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 German v1 · Pair Classification · German, E5 Large v2 scores 48.8 vs 48.8 — about the same. It is 50% cheaper.
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.
Text2vec Base Chinese (cheaper), Multilingual E5 Large (better), Gte Qwen2 7B Instruct (open weights).