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

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.

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

Alibaba

QwQ-32B

Alibaba

2025-03-05

1 month newer

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini

Average Score:25.2%
Alibaba

QwQ-32B

+40.0%
Average Score:65.2%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

math
72.2%
general
60.8%
Alibaba

QwQ-32B

math
+18.4%
90.6%
general
+9.5%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

QwQ-32B

2024-11-28

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

QwQ-32B

0 providers
Microsoft

Phi 4 Mini

Avg Score:25.2%
Providers:0
Alibaba

QwQ-32B

+40.0%
Avg Score:65.2%
Providers:0