Model Comparison

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

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. 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

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.

Google

Gemma 2 9B

Google

2024-06-27

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

7 months newer

Average performance across 9 common benchmarks

Google

Gemma 2 9B

Average Score:69.6%
Microsoft

Phi 4 Mini

+4.9%
Average Score:74.6%

Performance comparison across key benchmark categories

Google

Gemma 2 9B

reasoning
+6.5%
79.7%
math
52.6%
general
+5.5%
66.4%
Microsoft

Phi 4 Mini

reasoning
73.3%
math
+19.6%
72.2%
general
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers
Microsoft

Phi 4 Mini

0 providers
Google

Gemma 2 9B

Avg Score:69.6%
Providers:0
Microsoft

Phi 4 Mini

+4.9%
Avg Score:74.6%
Providers:0