$0.01 per 1M tokens.
There is no free API; the cheapest paid price is $0.01 per 1M input tokens. The weights are open, so you can run it yourself.
#75 of 200 in Embeddings.
On MTEB Korean v2 · Reranking · Korean, Multilingual E5 Large Instruct scores 52.3 vs 52.4 — about the same.
Through the intfloat API.
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.
Multilingual E5 Large Instruct is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.
Qwen 3 Embedding 8B (better), PwC Embedding Expr (open weights).