Qwen 3 Reranker 0.6B
Qwen develops the Qwen 3 Reranker 0.6B, a text reranking model that excels in text retrieval scenarios, leveraging its comprehensive multilingual capabilities and long-text understanding. It is particularly suited for tasks that require reranking text, with a context window of 32,768 tokens allowing it to process lengthy inputs.
Input
Output
Context
41K
Max Output
-
Parameters
595.8M
Technical Specifications
Model TypeRerank
Context Window40,960 tokens
Max Output TokensNot available
Parameters595.8M
Release DateMay 29, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Qwen 3 Reranker 0.6B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
Start building with the right model.
Automatically route workloads to the right model for every task, every time.