Qwen2.5-VL-7B-Instruct vs Qwen3.5-9B

Qwen2.5-VL-7B-Instruct and Qwen3.5-9B are both image-text-to-text models. See each entry for specifics.

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.

Qwen3.5-9B

Pipeline: image text to text
Downloads: 7,745,704
Likes: 1,388

Qwen3.5-9B is a 9-billion-parameter instruction-tuned vision-language model from Alibaba Cloud's Qwen3.5 series, fine-tuned from Qwen3.5-9B-Base for multimodal conversational tasks. It accepts image and text inputs for visual reasoning, document understanding, and grounded question answering. 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.