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Phi-3.5-vision-instruct vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 23.7% higher average benchmark score. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 days newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Average performance across 22 common benchmarks
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Phi-3.5-vision-instruct
Average Score:27.9%
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Qwen2-VL-72B-Instruct
Average Score:51.7%(+23.7%)
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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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Phi-3.5-vision-instruct
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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Phi-3.5-vision-instruct
Avg Score:27.9%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:51.7%(+23.7%)
Providers:0