Qwen3 Reranker 0.6B is the smallest text reranking model from Alibaba Cloud in the Qwen3 Reranker series. Built on the Qwen3 architecture, it evaluates query-document pairs to produce relevance scores for retrieval and RAG pipelines. Supports 100+ languages with instruction-aware reranking. Designed for low-latency, resource-constrained deployments.
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33K
Released
Aug 26, 2026
Token volume and request traffic to this model over time.
Qwen3 Reranker 0.6B is the smallest text reranking model from Alibaba Cloud in the Qwen3 Reranker series. Built on the Qwen3 architecture, it evaluates query-document pairs to produce relevance scores for retrieval and RAG pipelines. Supports 100+ languages with instruction-aware reranking. Designed for low-latency, resource-constrained deployments.
Qwen3 Reranker 0.6B accepts up to 32,768 tokens per query and document. Longer text has to be split into multiple documents.
Qwen3 Reranker 0.6B accepts text as input and returns relevance-ranked documents.
Qwen3 Reranker 8B is another reranking model from Qwen.
Qwen3 Reranker 0.6B was released on August 26, 2026.