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.
#98 of 200 in Embeddings.
On MTEB English v2 · Reranking · English, LLM2Vec Mistral 7B Instruct v2 Mntp Supervised scores 47.7 vs 47.8 — about the same.
Released 2024-04-09. 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.
LLM2Vec Mistral 7B Instruct v2 Mntp Supervised is an open-weights embeddings & retrieval model from McGill-NLP, released Apr 2024.
Qwen 3 Embedding 8B (better), Yuan Embedding 2.0 En (open weights).