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 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.

Google

Gemma 2 27B

Google

2024-06-27

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

10 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

code
56.5%
math
58.1%
general
70.0%
Microsoft

Phi 4 Reasoning

code
+20.2%
76.7%
math
+18.4%
76.6%
general
+4.3%
74.3%
Knowledge Cutoff
Training data recency comparison

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

Google

Gemma 2 27B

0 providers
Microsoft

Phi 4 Reasoning

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Reasoning

Avg Score:0.0%
Providers:0