QW
Qwen3 Vision-Language Reranker 2B
Release date: 2026-01-08Updated: 2026-01-08 23:26:30418
Parameters
2B
Context length
32K
Chinese support
Supported
Reasoning ability
Qwen3 Vision-Language Reranker 2B is an AI model published by Alibaba, released on 2026-01-08, for Reasoning model, with 2B parameters, and 32K context length, requiring about 4.26GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen3-VL-Reranker-2B
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
32K tokens
Max output length
1 tokens
Model type
Reasoning model
Modality (in / out)
Text, Image, Video → No data
Release date
2026-01-08
Model file size
4.26GB
MoE architecture
No
Total params / Active params
2B / N/A
Knowledge cutoff
No data
Qwen3-VL-Reranker-2B
Open source & experience
Qwen3-VL-Reranker-2B
Official resources
Paper
DataLearnerAI blog
Qwen3-VL-Reranker-2B
API details
API speed
3/5
No public API pricing yet.
Qwen3-VL-Reranker-2B
Benchmark Results
No benchmark data to show.
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Qwen3-VL-Reranker-2B
Publisher
Alibaba
View publisher details Qwen3 Vision-Language Reranker 2B
Model Overview
Qwen3 Vision-Language Reranker 2B is an AI model published by Alibaba, released on 2026-01-08, for Reasoning model, with 2B parameters, and 32K context length, requiring about 4.26GB storage.
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