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.

OpenAI

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

OpenAI

o4-mini

OpenAI

2025-04-16

9 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

math
58.1%
general
+5.6%
70.0%
OpenAI

o4-mini

math
+26.1%
84.3%
general
64.4%
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
OpenAI

o4-mini

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
OpenAI

o4-mini

Avg Score:0.0%
Providers:0