Model Comparison
DeepSeek VL2 Tiny vs Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 5 benchmarks (ChartQA, MMBench, OCRBench, RealWorldQA, TextVQA).
Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2-VL-72B-Instruct has 70.4B more parameters than DeepSeek VL2 Tiny, making it 2346.7% larger.
Input Capabilities
Supported data types and modalities
Both DeepSeek VL2 Tiny and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Tiny
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
DeepSeek VL2 Tiny is licensed under deepseek, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 Tiny was released on 2024-12-13, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
DeepSeek VL2 Tiny is 4 months newer than Qwen2-VL-72B-Instruct.
Dec 13, 2024
1.4 years ago
3mo newerAug 29, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while DeepSeek VL2 Tiny's cutoff date is not specified.
We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.
—
Jun 2023
Outputs Comparison
Key Takeaways
DeepSeek VL2 Tiny
View detailsDeepSeek
No standout differentiators in the data we have for this pair.
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 Tiny vs Qwen2-VL-72B-Instruct.