Qwen2-VL-2B-Instruct
READER SUMMARYA compact open visual-language model for image, video, document, and multilingual understanding, optimized for potential mobile deployment and visual device operation.
Why this model scores 50.3
Modest capability is paired with open distribution, small-device feasibility, and explicit visual-agent use, producing very broad deployment with meaningful post-release control limits.
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News tied to Qwen2-VL-2B-Instruct
The model score of 50.3 rates this model's risk profile. The overall Doom Index of 63.2 measures the recalibrated complete evidence corpus. These values answer different questions.
Each article's leave-one-out Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores are recalculated from their technical profile and related news, but never feed back into the overall index.
Alibaba releases Qwen2-VL visual-agent models
Alibaba released open 2B and 7B Qwen2-VL models and a 72B API model with image, long-video, multilingual text, and visual-agent capabilities for operating mobile devices and robots from visual inputs.
- Full item contribution
- +0.03
- Qwen2-VL-2B-Instruct equal share
- +0.01
Model score history
- R1Doom Score 50.3
New exact open Qwen2-VL model tier verified by the dated primary launch.
12 Aug 2026