Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B
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%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% 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.

Gemma 2 27B
2024-06-27

Grok-2 mini
xAI
2024-08-13
1 month newer
Average performance across 3 common benchmarks

Gemma 2 27B

Grok-2 mini
Performance comparison across key benchmark categories

Gemma 2 27B

Grok-2 mini
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Grok-2 mini

Gemma 2 27B

Grok-2 mini