Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 Google's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Gemma 3n E4B Instructed
2025-06-26
2 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E4B Instructed
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 3 common benchmarks
Gemma 3n E4B Instructed
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
Gemma 3n E4B Instructed
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Llama 3.1 Nemotron Ultra 253B v1
Gemma 3n E4B Instructed
Llama 3.1 Nemotron Ultra 253B v1