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.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Gemma 3n E4B
2025-06-26
3 months newer
Performance comparison across key benchmark categories
Gemma 3n E4B
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B
Llama-3.3 Nemotron Super 49B v1
Gemma 3n E4B
Llama-3.3 Nemotron Super 49B v1