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-preview
OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

o1-preview
OpenAI
2024-09-12
2 months newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B

o1-preview
Average performance across 2 common benchmarks

Gemma 2 27B

o1-preview
Performance comparison across key benchmark categories

Gemma 2 27B

o1-preview
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

o1-preview
Azure
OpenAI

Gemma 2 27B

o1-preview