Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 13.8% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. 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.
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
12 months newer
Gemma 2 9B
2024-06-27
Gemma 3n E2B Instructed
2025-06-26
Average performance across 31 common benchmarks
Gemma 2 9B
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 2 9B
Gemma 3n E2B Instructed
Gemma 2 9B
Gemma 3n E2B Instructed