Model Comparison

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

Google

Gemma 2 27B

Google

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.

xAI

Grok-1.5V

xAI

Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. 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.

xAI

Grok-1.5V

xAI

2024-04-12

Google

Gemma 2 27B

Google

2024-06-27

2 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

general
70.0%
math
+5.3%
58.1%
xAI

Grok-1.5V

general
+7.7%
77.7%
math
52.8%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
xAI

Grok-1.5V

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
xAI

Grok-1.5V

Avg Score:0.0%
Providers:0