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DeepSeek VL2 Small vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 9.5% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
1 month newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Average performance across 7 common benchmarks
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DeepSeek VL2 Small
Average Score:75.1%
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Qwen2.5 VL 72B Instruct
Average Score:84.5%(+9.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Qwen2.5 VL 72B Instruct
0 providers
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DeepSeek VL2 Small
Avg Score:75.1%
Providers:0
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Qwen2.5 VL 72B Instruct
Avg Score:84.5%(+9.5%)
Providers:0