+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 Mini Reasoning vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 50.9% higher average benchmark score. Overall, Qwen2.5 14B Instruct is the stronger choice for coding tasks.
+
+
+
+
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
Qwen2.5 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). 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.
7 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 18 common benchmarks
+
+
+
+
Phi 4 Mini Reasoning
Average Score:11.3%
+
+
+
+
Qwen2.5 14B Instruct
Average Score:62.2%(+50.9%)
+
+
+
+
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
+
+
+
+
Qwen2.5 14B Instruct
0 providers
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:11.3%
Providers:0
+
+
+
+
Qwen2.5 14B Instruct
Avg Score:62.2%(+50.9%)
Providers:0