There is no per-unit API price: API price not public.
There is no free API. The weights are open, so you can run it yourself.
#107 of 200 in Embeddings.
On MTEB Korean v2 · Clustering · Korean, Bekko Embedding v1 A25m scores 60 vs 60.1 — about the same.
Released 2026-07-28. 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.
Bekko Embedding v1 A25m is an open-weights embeddings & retrieval model from hotchpotch, released Jul 2026.
Qwen 3 Embedding 8B (better), F2LLM v2 8B (open weights).
BetterQwen 3 Embedding 8BunstatedOpen+18%—$0.01Memory (4-bit): 0.1 GB → 4.5 GBcOpenF2LLM v2 8Bunstated+39%——Memory (4-bit): 0.1 GB → 4.5 GB