Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 8.8% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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%). 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 Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
10 months newer
Gemma 2 27B
2024-06-27
Phi 4 Reasoning Plus
Microsoft
2025-04-30
Average performance across 27 common benchmarks
Gemma 2 27B
Phi 4 Reasoning Plus
Phi 4 Reasoning Plus
2025-03-01
Available providers and their performance metrics
Gemma 2 27B
Phi 4 Reasoning Plus
Gemma 2 27B
Phi 4 Reasoning Plus