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DeepSeek VL2 Tiny vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 16.2% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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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 Tiny
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 Tiny
Average Score:68.3%
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Qwen2.5 VL 72B Instruct
Average Score:84.5%(+16.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen2.5 VL 72B Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:68.3%
Providers:0
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Qwen2.5 VL 72B Instruct
Avg Score:84.5%(+16.2%)
Providers:0