+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 Mini Reasoning vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. QvQ-72B-Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
+
+
+
+
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 Mini Reasoning
Microsoft
2025-04-30
Average performance across 7 common benchmarks
+
+
+
+
Phi 4 Mini Reasoning
Average Score:29.2%(+0.9%)
+
+
+
+
QvQ-72B-Preview
Average Score:28.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
QvQ-72B-Preview
0 providers
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:29.2%(+0.9%)
Providers:0
+
+
+
+
QvQ-72B-Preview
Avg Score:28.3%
Providers:0