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Qwen2-VL-72B-Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 5.6% higher average benchmark score. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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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-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
7 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 6 common benchmarks
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Qwen2-VL-72B-Instruct
Average Score:74.9%(+5.6%)
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Qwen2.5-Omni-7B
Average Score:69.3%
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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-Omni-7B
0 providers
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Qwen2-VL-72B-Instruct
Avg Score:74.9%(+5.6%)
Providers:0
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Qwen2.5-Omni-7B
Avg Score:69.3%
Providers:0