Model dossier

BAAI: 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.

Context8,192
Max outputn/a
Pricing viewTVP price

BAAI: bge-m3

Model ID
baai/bge-m3
Canonical slug
baai/bge-m3-20251117
Knowledge cutoff
n/a
Created
11/18/2025
textembeddingsstructured
text->embeddingsembeddingstext
Context8,192
Max outputn/a
TokenizerOther