BAAI: bge-m3

baai/bge-m3

Created Nov 18, 20258,192 context

$0.01/M input tokens$0/M output tokens

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.

BAAI: bge-m3

baai/bge-m3

BAAI: bge-m3

baai/bge-m3

Sample code and API for bge-m3

OpenRouter normalizes requests and responses across providers for you.

Using third-party SDKs

Sample code and API for bge-m3

OpenRouter normalizes requests and responses across providers for you.

Using third-party SDKs