Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 21.0% higher average benchmark score. Grok-2 mini 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.
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
1 month newer
Gemma 2 9B
2024-06-27
Grok-2 mini
xAI
2024-08-13
Average performance across 21 common benchmarks
Gemma 2 9B
Grok-2 mini
Available providers and their performance metrics
Gemma 2 9B
Grok-2 mini
Gemma 2 9B
Grok-2 mini