Qwen3-Reranker-8B
About Qwen3-Reranker-8B
Qwen3-Reranker-8B is the 8-billion parameter text reranking model from the Qwen3 series. It is designed to refine and improve the quality of search results by accurately re-ordering documents based on their relevance to a query. Built on the powerful Qwen3 foundational models, it excels in understanding long-text with a 32k context length and supports over 100 languages. The Qwen3-Reranker-8B model is part of a flexible series that offers state-of-the-art performance in various text and code retrieval scenarios
Available Serverless
Run queries immediately, pay only for usage
$
0.04
Per 1M Tokens
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
No
Total Parameters
8
Activated Parameters
8B
Reasoning
No
Precision
FP8
Context length
33K
Max Tokens
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Supported
Support image input
Not supported
JSON Mode
Not supported
Structured Outputs
Not supported
Tools
Not supported
Fim Completion
Not supported
Chat Prefix Completion
Not supported
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Model FAQs: Usage, Deployment
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