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

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

2025-03-05

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

1 month newer

Average performance across 2 common benchmarks

Microsoft

Phi 4 Mini Reasoning

Average Score:73.3%
Alibaba

QwQ-32B

+4.6%
Average Score:77.9%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+4.0%
94.6%
general
54.8%
Alibaba

QwQ-32B

math
90.6%
general
+15.6%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

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

QwQ-32B

0 providers
Microsoft

Phi 4 Mini Reasoning

Avg Score:73.3%
Providers:0
Alibaba

QwQ-32B

+4.6%
Avg Score:77.9%
Providers:0