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.
#131 of 200 in Embeddings.
On JMTEB v2 · Clustering · Japanese, KaLM Embedding Multilingual Mini Instruct v1 scores 45.8 vs 46.1 — about the same.
Released 2024-10-23. 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.
KaLM Embedding Multilingual Mini Instruct v1 is an open-weights embeddings & retrieval model from HIT-TMG, released Oct 2024.
EmbeddingGemma 300M (better), F2LLM v2 8B (open weights).