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.
#117 of 200 in Embeddings.
On MTEB Persian v2 · STS · Persian, Bekko Embedding v1 A8m scores 73.7 vs 74.3 — 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 A8m is an open-weights embeddings & retrieval model from hotchpotch, released Jul 2026.
EmbeddingGemma 300M (better), Jina Embeddings v3 (open weights).
BetterEmbeddingGemma 300MunstatedOpen+7%—$0.002Max input: 8K tokens → 2K tokens+1
OpenJina Embeddings v3unstated+12%—$0.05Memory (4-bit): 0.1 GB → 0.3 GB
BetterBge M3unstatedOpen+8%—$0.01Memory (4-bit): 0.1 GB → 0.3 GBiBetterMultilingual E5 LargeunstatedOpen+8%—$0.01Max input: 8K tokens → 1K tokens+1iBetterE5 Mistral 7B InstructunstatedOpen+8%—$0.022Memory (4-bit): 0.1 GB → 4.3 GB
Gte Qwen2 7B InstructunstatedOpen+10%——Memory (4-bit): 0.1 GB → 4.2 GBcF2LLM v2 8BunstatedOpen+9%——Memory (4-bit): 0.1 GB → 4.5 GB