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Favicon for baai

baai

Access 3 baai models on OpenRouter including bge-base-en-v1.5, bge-large-en-v1.5, and bge-m3. Compare pricing, context windows, and capabilities.

baai tokens processed on OpenRouter

  • Favicon for baai
    BAAI: bge-base-en-v1.5bge-base-en-v1.5
    687M tokens

The bge-base-en-v1.5 embedding model converts English sentences and paragraphs into 768-dimensional dense vectors, delivering efficient, high-quality semantic embeddings optimized for retrieval, semantic search, and document-matching workflows. This version (v1.5) features improved similarity-score distribution and stronger retrieval performance out of the box.

by baaiNov 18, 2025512 context$0.005
  • Favicon for baai
    BAAI: bge-large-en-v1.5bge-large-en-v1.5
    72.7M tokens

    The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks in English.

    by baaiNov 18, 2025512 context$0.01
  • Favicon for baai
    BAAI: bge-m3bge-m3
    10.4B 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.

    by baaiNov 18, 20258K context$0.01