Model Comparison

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

Microsoft

Phi 4 Mini

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.

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

Microsoft

2025-02-01

6 months newer

Average performance across 9 common benchmarks

Microsoft

Phi 4 Mini

Average Score:64.9%
Alibaba

Qwen2 72B Instruct

+5.8%
Average Score:70.7%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

reasoning
73.3%
math
72.2%
general
60.8%
factuality
+11.6%
66.4%
Alibaba

Qwen2 72B Instruct

reasoning
+7.3%
80.5%
math
+3.2%
75.4%
general
+7.1%
67.9%
factuality
54.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

Microsoft

Phi 4 Mini

0 providers
Alibaba

Qwen2 72B Instruct

0 providers
Microsoft

Phi 4 Mini

Avg Score:64.9%
Providers:0
Alibaba

Qwen2 72B Instruct

+5.8%
Avg Score:70.7%
Providers:0