Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Microsoft

Phi 4 Mini Reasoning

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

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 72B Instruct

Alibaba

2024-07-23

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

9 months newer

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini Reasoning

+9.6%
Average Score:52.0%
Alibaba

Qwen2 72B Instruct

Average Score:42.4%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+19.2%
94.6%
general
54.8%
Alibaba

Qwen2 72B Instruct

math
75.4%
general
+13.1%
67.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

Microsoft

Phi 4 Mini Reasoning

0 providers
Alibaba

Qwen2 72B Instruct

0 providers
Microsoft

Phi 4 Mini Reasoning

+9.6%
Avg Score:52.0%
Providers:0
Alibaba

Qwen2 72B Instruct

Avg Score:42.4%
Providers:0