BGE Reranker Large
BGE Reranker Large is a released general LLM work model with open-source; evaluate it while provider pricing coverage matures.
No tracked provider pricing is available yet.
About
BGE Reranker Large is a cross-encoder reranking model that scores query-passage pairs for relevance by jointly encoding them through full attention. Based on XLM-RoBERTa, it supports Chinese and English and achieves a C-MTEB reranking average of 66.09. It is designed as a second-stage ranker in retrieval pipelines: first retrieve candidates with a BGE embedding model, then re-rank with this model for higher precision.
Providers
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Capabilities
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Benchmark peer barsfor Coding
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Migration checks
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No tracked provider pricing is available yet.