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.

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-2 mini
xAI
2024-08-13

Gemma 3n E4B
2025-06-26
10 months newer
Performance comparison across key benchmark categories

Gemma 3n E4B

Grok-2 mini
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

Grok-2 mini

Gemma 3n E4B

Grok-2 mini