Model Comparison

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

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 Reasoning

Microsoft

2025-04-30

1 month newer

Average performance across 4 common benchmarks

Microsoft

Phi 4 Reasoning

Average Score:69.6%
Alibaba

QwQ-32B

+3.4%
Average Score:73.0%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Reasoning

math
76.6%
code
+3.1%
76.7%
general
+3.9%
74.3%
Alibaba

QwQ-32B

math
+14.0%
90.6%
code
73.6%
general
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 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Reasoning

0 providers
Alibaba

QwQ-32B

0 providers
Microsoft

Phi 4 Reasoning

Avg Score:69.6%
Providers:0
Alibaba

QwQ-32B

+3.4%
Avg Score:73.0%
Providers:0