There is no per-unit API price: price not verified.
#158 of 200 in Embeddings.
On MTEB English v2 · Retrieval · English, LaBSE Ru Turbo scores 34.2 vs 35 — about the same.
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.
EmbeddingGemma 300M (better), Yuan Embedding 2.0 En (open weights).