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

Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.

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.

o1-preview
OpenAI
2024-09-12

Gemma 3n E2B
2025-06-26
9 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E2B

o1-preview
Performance comparison across key benchmark categories

Gemma 3n E2B

o1-preview
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B

o1-preview
Azure
OpenAI

Gemma 3n E2B

o1-preview