Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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.
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.
Launched on the same date
Gemma 2 27B
2024-06-27
Gemma 2 9B
2024-06-27
Average performance across 16 common benchmarks
Gemma 2 27B
Gemma 2 9B
Available providers and their performance metrics
Gemma 2 27B
Gemma 2 9B
Gemma 2 27B
Gemma 2 9B