by BAAI
BAAI/bge-large-zh-v1.5 is a large Chinese text embedding model and part of the BGE (BAAI General Embedding) series. It performs excellently on the C-MTEB benchmark, achieving an average score of 64.53 across 31 datasets, with outstanding results in tasks such as retrieval, semantic similarity, and text pair classification. The model supports a maximum input length of 512 tokens and is suitable for various Chinese 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-zh-v1.5 via the AIHubMix unified API — one interface for every major LLM.