by BAAI
BAAI/bge-reranker-v2-m3 is a lightweight multilingual reranking model. It is developed based on the bge-m3 model, offering strong multilingual capabilities, easy deployment, and fast inference. The model takes a query and documents as input and directly outputs similarity scores instead of embedding vectors. It is suitable for multilingual scenarios and performs particularly well in both Chinese and English processing.
BAAI/bge-reranker-v2-m3 is a lightweight multilingual reranking model. It is developed based on the bge-m3 model, offering strong multilingual capabilities, easy deployment, and fast inference. The model takes a query and documents as input and directly outputs similarity scores instead of embedding vectors. It is suitable for multilingual scenarios and performs particularly well in both Chinese and English processing.
On AIHubMix, BAAI/bge-reranker-v2-m3 costs $0.03 per million input tokens and $0.03 per million output tokens.
BAAI/bge-reranker-v2-m3 accepts text and image input.
BAAI/bge-reranker-v2-m3 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-reranker-v2-m3 — no other code changes needed.
BAAI/bge-reranker-v2-m3 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-reranker-v2-m3 via the AIHubMix unified API — one interface for every major LLM.