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.

GPT-4o
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. 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.

GPT-4o
OpenAI
2024-08-06

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

Gemma 3n E2B

GPT-4o
Performance comparison across key benchmark categories

Gemma 3n E2B

GPT-4o
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B

GPT-4o
Azure
ZeroEval
OpenAI

Gemma 3n E2B

GPT-4o