BAAI: bge-large-en-v1.5

baai/bge-large-en-v1.5

Created Nov 18, 2025512 context

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

BAAI: bge-large-en-v1.5

baai/bge-large-en-v1.5

Created Nov 18, 2025512 context

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

Recent activity on bge-large-en-v1.5

Total usage per day on OpenRouter

Prompt

5.69M

Completion

0

Reasoning

0

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