There is no per-unit API price: price not verified.
#185 of 200 in Embeddings.
On MTEB English v2 · Retrieval · English, LaBSE En Ru scores 16.6 vs 17.8 — lower.
Released 2021-06-10. It is the current version in its line.
Yes, the weights are open (not specified licence).
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
LaBSE En Ru is an open-weights embeddings & retrieval model from cointegrated, released Jun 2021.
EmbeddingGemma 300M (better), Yuan Embedding 2.0 En (open weights).