BAAI: bge-base-en-v1.5

baai/bge-base-en-v1.5

Created Nov 18, 2025512 context

$0.005/M input tokens$0/M output 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.

BAAI: bge-base-en-v1.5

baai/bge-base-en-v1.5

Created Nov 18, 2025512 context

$0.005/M input tokens$0/M output 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.

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6.7M

Completion

0

Reasoning

0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.