BAAI: bge-m3
baai/bge-m3- Modalities
- text->embeddings
- In / out price
- $0.01 / $0
- Context
- 8K
- Released
- Nov 18, 2025
- Knowledge cutoff
- —
per 1M
The playground sends chat/completions only. This model outputs Embeddings, so a chat turn may not return what you expect.
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.
Embeddings
Supported parameters
This model does not publish a parameter list.