There is no per-unit API price: self-host only.
There is no free API. The weights are open, so you can run it yourself.
#144 of 200 in Embeddings.
On MTEB German v1 · Pair Classification · German, Sentence Croissant Alpha v0.2 scores 53.9 vs 53.9 — about the same.
Released 2024-03-15. It is the current version in its line.
Yes, the weights are open.
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Sentence Croissant Alpha v0.2 is an open-weights embeddings & retrieval model from manu, released Mar 2024.
Jina Embeddings v5 Text Nano (better), Gte Qwen2 7B Instruct (open weights).
BetterJina Embeddings v5 Text NanounstatedOpen+4%—$0.02
OpenGte Qwen2 7B Instructunstated+21%——Memory (4-bit): 0.8 GB → 4.2 GB
BetterText Embedding 3 Largeunstated+7%—$0.13aBetterGerman Semantic STS v2unstatedOpen+17%——