Model Comparison

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

Google

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 E2B Instructed

Google

2025-06-26

2 months newer

Average performance across 2 common benchmarks

Google

Gemma 3n E2B Instructed

Average Score:15.8%
OpenAI

o4-mini

+71.3%
Average Score:87.1%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

math
40.4%
general
32.8%
OpenAI

o4-mini

math
+43.9%
84.3%
general
+31.6%
64.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

Gemma 3n E2B Instructed

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 E2B Instructed

0 providers
OpenAI

o4-mini

0 providers
Google

Gemma 3n E2B Instructed

Avg Score:15.8%
Providers:0
OpenAI

o4-mini

+71.3%
Avg Score:87.1%
Providers:0