Qwen 3 VL Reranker 2B
Qwen 3 VL Reranker 2B is a multimodal reranker model from Qwen, designed to refine retrieval results by scoring the relevance of query-document pairs. It is engineered to accept diverse inputs, including text, images, screenshots, and videos, as part of a two-stage retrieval pipeline.
Input
Output
Context
262K
Max Output
-
Parameters
2.1B
Technical Specifications
Model TypeRerank
Context Window262,144 tokens
Max Output TokensNot available
Parameters2.1B
Release DateJan 7, 2026
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Qwen 3 VL Reranker 2B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
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Related Tools
Data sourced from official provider APIs and documentation
Last updated: Aug 28, 2026
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