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

Gemma 2 27B
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.

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.

Gemma 2 27B
2024-06-27

Phi 4 Reasoning
Microsoft
2025-04-30
10 months newer
Performance comparison across key benchmark categories

Gemma 2 27B

Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Phi 4 Reasoning

Gemma 2 27B

Phi 4 Reasoning