Models
QwenVL vs. GPT-4 Vision

QwenVL vs. GPT-4 Vision

Both QwenVL and GPT-4 with Vision are commonly used in computer vision projects. Below, we compare and contrast QwenVL and GPT-4 with Vision.

Models

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QwenVL

Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation.
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GPT-4 with Vision

GPT-4 with Vision is a multimodal language model developed by OpenAI.
Model Type
Multimodal Model
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Object Detection
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Model Features
Item 1 Info
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Architecture
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Transformer
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
3.3k+
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License
Tongyi Qianwen
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Training Notebook
Compare Alternatives

Compare QwenVL and GPT-4 with Vision with Autodistill

We ran seven tests across five state-of-the-art Large Multimodal Models (LMMs) on November 23rd, 2023. GPT-4V passed at four of seven tests and Qwen-VL passed at five of seven tests.

Here are the results:

Based on our tests, QwenVL and GPT-4V both perform well on multimodal tasks. Both model spassed slightly different tests. But, we encourage you to run your own analysis and experiment with different prompts to explore the strengths and weaknesses of each model further.

Read more of our analysis.

Download the raw image results from our analysis.

Compare QwenVL vs. GPT-4 Vision

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.