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.

o1-pro
OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

o1-pro
OpenAI
2024-12-17
5 months newer
Performance comparison across key benchmark categories

Gemma 2 27B

o1-pro
o1-pro
2023-09-30
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

o1-pro

Gemma 2 27B

o1-pro