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 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.

Gemma 2 27B
2024-06-27

Phi 4 Mini
Microsoft
2025-02-01
7 months newer
Average performance across 9 common benchmarks

Gemma 2 27B

Phi 4 Mini
Performance comparison across key benchmark categories

Gemma 2 27B

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

Gemma 2 27B

Phi 4 Mini

Gemma 2 27B

Phi 4 Mini