Qwen2-VL-7B-Instruct
READER SUMMARYAn open 7-billion-parameter visual-language model supporting images, multi-image inputs, long video, document understanding, and visual-agent operation of devices and robots.
Why this model scores 58.9
Competitive multimodal reasoning, explicit device-operation capability, and downloadable weights combine strong practical autonomy with very broad deployment and limited downstream control.
0 comments · 0 votes
Sign in to join the discussion →
No comments yet. Start the discussion.
News tied to Qwen2-VL-7B-Instruct
The model score of 58.9 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-7B-Instruct equal share
- +0.01
Model score history
- R1Doom Score 58.9
New exact open Qwen2-VL model tier verified by the dated primary launch.
12 Aug 2026