$0.005 per 1M tokens.
There is no free API; the cheapest paid price is $0.005 per 1M input tokens. The weights are open, so you can run it yourself.
#108 of 200 in Embeddings.
On MTEB Russian v1.1 · Multilabel Classification · Russian, E5 Base v2 scores 26.1 vs 26.2 — about the same. It is 0% more expensive.
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.
E5 Base v2 is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.
EmbeddingGemma 300M (cheaper), Giga Embeddings Instruct 10B A1.8B 0826 (open weights).