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Phi 4 Mini vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 43.5% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 21 common benchmarks
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Phi 4 Mini
Average Score:52.9%(+43.5%)
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QvQ-72B-Preview
Average Score:9.4%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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 4 Mini
0 providers
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QvQ-72B-Preview
0 providers
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Phi 4 Mini
Avg Score:52.9%(+43.5%)
Providers:0
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QvQ-72B-Preview
Avg Score:9.4%
Providers:0