$0.022 per 1M tokens.
There is no free API; it costs $0.022 per 1M tokens. The weights are open, so you can run it yourself.
#41 of 200 in Embeddings. Strongest at: Embeddings & Retrieval.
On MTEB Spanish v1 · Clustering · Spanish, E5 Mistral 7B Instruct scores 49 vs 49.1 — about the same. It is 12% more expensive.
Released 2024-02-08. 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.
E5 Mistral 7B Instruct is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.
Jina Embeddings v5 Text Nano (cheaper), Gemini Embedding 001 (better), F2LLM v2 14B (open weights).