Qwen3 Reranker 4B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG pipelines. Supports 100+ languages and programming languages, with instruction-aware reranking that allows customizing scoring criteria per task. A compact 4B alternative balancing performance and inference cost.
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33K
Released
Aug 26, 2026
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Qwen3 Reranker 4B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG pipelines. Supports 100+ languages and programming languages, with instruction-aware reranking that allows customizing scoring criteria per task. A compact 4B alternative balancing performance and inference cost.
Qwen3 Reranker 4B accepts up to 32,768 tokens per query and document. Longer text has to be split into multiple documents.
Qwen3 Reranker 4B accepts text as input and returns relevance-ranked documents.
Qwen3 Reranker 8B is another reranking model from Qwen.
Qwen3 Reranker 4B was released on August 26, 2026.