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Qwen3-VL-2B-Instruct vs Qwen2.5-VL-7B-Instruct

Qwen3-VL-2B-Instruct and Qwen2.5-VL-7B-Instruct are both image-text-to-text models. See each entry for specifics.

Qwen3-VL-2B-Instruct

Pipeline
image text to text
Downloads
186,904,434
Likes
386

Qwen3-VL-2B-Instruct is a 2-billion-parameter vision-language model from Alibaba Cloud that jointly processes images and text for visual question answering, captioning, and document understanding. Its 2B scale positions it as one of the smaller instruction-tuned VLMs capable of zero-shot visual reasoning. Apache 2.0 licensed.

Qwen2.5-VL-7B-Instruct

Pipeline
image text to text
Downloads
8,919,144
Likes
1,518

Qwen2.5-VL-7B-Instruct is Alibaba Cloud's 7-billion-parameter vision-language model from the Qwen2.5-VL series, accepting image and video inputs alongside text for visual question answering, document understanding, and grounding tasks. It supports multiple image resolutions dynamically and shows improved OCR and document reasoning compared to the earlier Qwen-VL series. Apache 2.0 licensed.

Key differences

  • See individual model pages for architecture and use cases.

Common ground

  • Both are open-source models on HuggingFace.

Which should you pick?

Pick based on your compute budget and specific task requirements.