rerankerfamily
Qwen3-VL-Reranker
Multimodal rerankers built on Qwen3-VL that score text, image and document candidates against a query; companions to the Qwen3-VL-Embedding records.
Levelfamily
Classreranker
Parametersnot in the notes
Contextnot in the notes
Released7 Jan 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
Qwen3-VL-Reranker-2B belongs to this familyreranker7 Jan 20262.13BQwen3-VL-Reranker-8B belongs to this familyreranker7 Jan 20268.77BWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- Alibaba (Qwen)
- Family
- not in the notes
- Released
- 7 Jan 2026 sourcesregistry date
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text, image
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAlibaba (Qwen)big tech, China
Alibaba (Qwen)big tech, ChinaModelQwen3-VL-RerankerAlibaba (Qwen), reranker
Qwen3-VL-RerankerAlibaba (Qwen), rerankerR&D TopicsNeural Rerankers for RetrievalRetrieval-Augmented Generation (RAG)Visual Document Retrieval
Use CasesEmbeddings and Retrieval for SEA LanguagesPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Models 2
Organisations 1
R&D topics 3
Retrieval-Augmented Generation (RAG)Grounding generation in retrieved documents.used byNeural Rerankers for RetrievalCross-encoder or LLM-based models that score each query and candidate document together t…produced byVisual Document RetrievalRetrieving document pages by embedding the page images themselves with a vision language…produced by
Sources
- modelscope.cn/models/Qwen/Qwen3-VL-Reranker-8B https://www.modelscope.cn/models/Qwen/Qwen3-VL-Reranker-8B
- huggingface.co/Qwen/Qwen3-VL-Reranker-2B https://huggingface.co/Qwen/Qwen3-VL-Reranker-2B
- huggingface.co/Qwen/Qwen3-VL-Reranker-8B https://huggingface.co/Qwen/Qwen3-VL-Reranker-8B
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen3-VL-Reranker", https://aurion.semai.id/models/alibaba-qwen3-vl-reranker/, records of October 2026.