There is no per-unit API price: price not verified.
#185 of 200 in Embeddings.
On MTEB Spanish v1 · STS · multilingual (2 languages), LaBSE En Ru scores 59.7 vs 59.8 — about the same.
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.
E5 Base v2 (better), Jina Embeddings v5 Text Small (open weights).