Model Comparison
DeepSeek VL2 Small vs Qwen2.5 VL 72B Instruct
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 Small outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 7 benchmarks (AI2D, ChartQA, DocVQA, MMBench, MMMU, MMStar, OCRBench).
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 56.0B more parameters than DeepSeek VL2 Small, making it 350.0% larger.
Input Capabilities
Supported data types and modalities
Both DeepSeek VL2 Small and Qwen2.5 VL 72B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Small
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
DeepSeek VL2 Small is licensed under deepseek, while Qwen2.5 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 Small was released on 2024-12-13, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Qwen2.5 VL 72B Instruct is 1 month newer than DeepSeek VL2 Small.
Dec 13, 2024
1.3 years ago
Jan 26, 2025
1.2 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek VL2 Small
View detailsDeepSeek
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 Small vs Qwen2.5 VL 72B Instruct