bge-m3
Rank #111
baai
baai/bge-m3-20251117
Usage data date 2026-07-26 · updated daily
Usage and specs
Daily rank#111
Daily tokens21.4B
Daily requests17M
Daily change
+86.3%
Context window8.2K
What is bge-m3
The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.
