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Phi-3.5-vision-instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 5.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi-3.5-vision-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
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 16 common benchmarks
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Phi-3.5-vision-instruct
Average Score:38.4%(+5.8%)
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QwQ-32B
Average Score:32.6%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
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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QwQ-32B
0 providers
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Phi-3.5-vision-instruct
Avg Score:38.4%(+5.8%)
Providers:0
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QwQ-32B
Avg Score:32.6%
Providers:0