Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 13.8% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
13 days newer
Gemma 3n E4B
2025-06-26
Grok-4 Heavy
xAI
2025-07-09
Average performance across 17 common benchmarks
Gemma 3n E4B
Grok-4 Heavy
Gemma 3n E4B
2024-06-01
Grok-4 Heavy
2024-12-31
Available providers and their performance metrics
Gemma 3n E4B
Grok-4 Heavy
Gemma 3n E4B
Grok-4 Heavy