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Qwen2-VL-72B-Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 3.8% 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 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
6 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 2 common benchmarks
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Qwen2-VL-72B-Instruct
Average Score:58.4%
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Qwen2.5 VL 32B Instruct
Average Score:62.1%(+3.8%)
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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 32B Instruct
0 providers
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Qwen2-VL-72B-Instruct
Avg Score:58.4%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:62.1%(+3.8%)
Providers:0