Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 7.7% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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%). 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 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%). 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 9B
2024-06-27
Phi 4 Reasoning
Microsoft
2025-04-30
Average performance across 27 common benchmarks
Gemma 2 9B
Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Available providers and their performance metrics
Gemma 2 9B
Phi 4 Reasoning
Gemma 2 9B
Phi 4 Reasoning