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QvQ-72B-Preview vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 1.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
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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.
2 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
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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QvQ-72B-Preview
Average Score:53.1%
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Qwen2.5 VL 32B Instruct
Average Score:54.2%(+1.1%)
Provider Availability & Performance
Available providers and their performance metrics
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QvQ-72B-Preview
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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QvQ-72B-Preview
Avg Score:53.1%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:54.2%(+1.1%)
Providers:0