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DeepSeek VL2 Tiny vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 8.1% higher average benchmark score. Overall, Qwen2-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-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
3 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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Average performance across 4 common benchmarks
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DeepSeek VL2 Tiny
Average Score:76.7%
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Qwen2-VL-72B-Instruct
Average Score:84.8%(+8.1%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:76.7%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:84.8%(+8.1%)
Providers:0