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Phi 4 Reasoning vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 41.9% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). 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.
4 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Phi 4 Reasoning
Microsoft
2025-04-30
Average performance across 15 common benchmarks
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Phi 4 Reasoning
Average Score:55.1%(+41.9%)
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QvQ-72B-Preview
Average Score:13.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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QvQ-72B-Preview
0 providers
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Phi 4 Reasoning
Avg Score:55.1%(+41.9%)
Providers:0
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QvQ-72B-Preview
Avg Score:13.2%
Providers:0