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.
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.
On AIHubMix, BAAI/bge-large-zh-v1.5 costs $0.03 per million input tokens and $0.03 per million output tokens.
BAAI/bge-large-zh-v1.5 accepts text and image input.
BAAI/bge-large-zh-v1.5 supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
BAAI/bge-large-zh-v1.5 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to BAAI/bge-large-zh-v1.5 — no other code changes needed.
BAAI/bge-large-zh-v1.5 is developed by BAAI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use BAAI/bge-large-zh-v1.5 via the AIHubMix unified API — one interface for every major LLM.