Model Comparison

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

Google

Gemma 3n E4B

Google

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.

xAI

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-1.5

xAI

2024-03-28

Google

Gemma 3n E4B

Google

2025-06-26

1 year newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
+3.6%
59.6%
xAI

Grok-1.5

general
56.1%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

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 E4B

0 providers
xAI

Grok-1.5

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
xAI

Grok-1.5

Avg Score:0.0%
Providers:0