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

Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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-4 Heavy
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%). The model shows particular specialization in general tasks with an average performance of 79.5%. 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.

Gemma 3n E2B Instructed
2025-06-26

Grok-4 Heavy
xAI
2025-07-09
13 days newer
Average performance across 3 common benchmarks

Gemma 3n E2B Instructed

Grok-4 Heavy
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

Grok-4 Heavy
Gemma 3n E2B Instructed
2024-06-01
Grok-4 Heavy
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed

Grok-4 Heavy

Gemma 3n E2B Instructed

Grok-4 Heavy