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Qwen2-VL-72B-Instruct vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 2.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
5 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Average performance across 6 common benchmarks
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Qwen2-VL-72B-Instruct
Average Score:75.3%(+2.9%)
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Qwen2.5 VL 7B Instruct
Average Score:72.5%
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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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Qwen2-VL-72B-Instruct
0 providers
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Qwen2.5 VL 7B Instruct
0 providers
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Qwen2-VL-72B-Instruct
Avg Score:75.3%(+2.9%)
Providers:0
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Qwen2.5 VL 7B Instruct
Avg Score:72.5%
Providers:0