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Qwen2.5 VL 32B Instruct vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 1.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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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
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 18 common benchmarks
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Qwen2.5 VL 32B Instruct
Average Score:58.6%
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Qwen2.5 VL 72B Instruct
Average Score:60.2%(+1.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5 VL 32B Instruct
0 providers
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Qwen2.5 VL 72B Instruct
0 providers
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Qwen2.5 VL 32B Instruct
Avg Score:58.6%
Providers:0
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Qwen2.5 VL 72B Instruct
Avg Score:60.2%(+1.6%)
Providers:0