There is no per-unit API price: price not verified.
#187 of 200 in Embeddings.
On MTEB Spanish v1 · STS · multilingual (2 languages), Rubert Tiny2 scores 52.3 vs 53.8 — lower.
Released 2021-10-28. 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.
Rubert Tiny2 is an open-weights embeddings & retrieval model from cointegrated, released Oct 2021.
E5 Base v2 (better), Jina Embeddings v5 Text Small (open weights).