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

Gemma 2 9B
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.

Phi 4
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Gemma 2 9B
2024-06-27

Phi 4
Microsoft
2024-12-12
5 months newer
Performance Metrics
Context window and performance specifications

Gemma 2 9B

Phi 4
Average performance across 3 common benchmarks

Gemma 2 9B

Phi 4
Performance comparison across key benchmark categories

Gemma 2 9B

Phi 4
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 9B

Phi 4
DeepInfra

Gemma 2 9B

Phi 4