There is no per-unit API price: price not verified.
#158 of 200 in Embeddings.
On MTEB Spanish v1 · STS · multilingual (2 languages), LaBSE Ru Turbo scores 61.6 vs 62.9 — lower.
Released 2024-06-27. 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.
LaBSE Ru Turbo is an open-weights embeddings & retrieval model from sergeyzh, released Jun 2024.
E5 Base v2 (better), Jina Embeddings v5 Text Small (open weights).