$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.
#94 of 200 in Embeddings.
On MTEB German v1 · Classification · German, Multilingual E5 Large scores 67.5 vs 67.9 — 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.
Multilingual E5 Large is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.
Jina Embeddings v5 Text Nano (better), F2LLM v2 8B (open weights).