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.
#172 of 200 in Embeddings.
On MTEB Indic v1 · STS · multilingual (13 languages), STS Multilingual Mpnet Base v2 scores 84.8 vs 63.4 — higher.
Released 2024-06-07. 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.
STS Multilingual Mpnet Base v2 is an open-weights embeddings & retrieval model from Gameselo, released Jun 2024.
KaLM Embedding Gemma3 12B 2511 (open weights).
OpenKaLM Embedding Gemma3 12B 2511-25%——Memory (4-bit): 0.2 GB → 7.1 GBOOpenOcten Embedding 8B-27%——Memory (4-bit): 0.2 GB → 4.5 GBLOpenQwen Indic v1-27%——Memory (4-bit): 0.2 GB → 4.5 GB
OpenQwen 3 Embedding 8Bunstated-27%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBLOpenFlowVec v1-28%——Memory (4-bit): 0.2 GB → 4.5 GB