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

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.

OpenAI

o1-pro

OpenAI

2024-12-17

Google

Gemma 3n E2B Instructed

Google

2025-06-26

6 months newer

Average performance across 1 common benchmarks

Google

Gemma 3n E2B Instructed

Average Score:24.8%
OpenAI

o1-pro

+54.2%
Average Score:79.0%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

general
32.8%
OpenAI

o1-pro

general
+49.7%
82.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o1-pro

2023-09-30

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

o1-pro

0 providers
Google

Gemma 3n E2B Instructed

Avg Score:24.8%
Providers:0
OpenAI

o1-pro

+54.2%
Avg Score:79.0%
Providers:0