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

Gemma 3n E4B
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.

GPT-4.1
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.

GPT-4.1
OpenAI
2025-04-14

Gemma 3n E4B
2025-06-26
2 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B

GPT-4.1
Performance comparison across key benchmark categories

Gemma 3n E4B

GPT-4.1
Gemma 3n E4B
2024-06-01
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

GPT-4.1
OpenAI

Gemma 3n E4B

GPT-4.1