by BAAI
BAAI/bge-large-en-v1.5 is a large English text embedding model and part of the BGE (BAAI General Embedding) series. It achieves excellent performance on the MTEB benchmark, with an average score of 64.23 across 56 datasets, excelling in tasks such as retrieval, clustering, and text pair classification. The model supports a maximum input length of 512 tokens and is suitable for various natural language processing tasks, such as text retrieval and semantic similarity computation.
| Input | $0.03 / 1M tokens |
| Output | $0.03 / 1M tokens |
| Modalities | text, image |
| Features | tools, function_calling, structured_outputs |
Use BAAI/bge-large-en-v1.5 via the AIHubMix unified API — one interface for every major LLM.