$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 Polish v1 · Pair Classification · Polish, E5 Large v2 scores 76.3 vs 76.4 — about the same. It is 90% 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.
E5 Base v2 (cheaper), Qwen 3 Embedding 8B (better), STS Multilingual Mpnet Base v2 (open weights).