Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Google

Gemma 2 27B

Google

2024-06-27

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

10 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

math
58.1%
general
+15.3%
70.0%
Microsoft

Phi 4 Mini Reasoning

math
+36.4%
94.6%
general
54.8%
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

Google

Gemma 2 27B

0 providers
Microsoft

Phi 4 Mini Reasoning

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Mini Reasoning

Avg Score:0.0%
Providers:0