Model Comparison

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

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

OpenAI

o4-mini

OpenAI

2025-04-16

Google

Gemma 3n E4B

Google

2025-06-26

2 months newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
59.6%
OpenAI

o4-mini

general
+4.8%
64.4%
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B

0 providers
OpenAI

o4-mini

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
OpenAI

o4-mini

Avg Score:0.0%
Providers:0