Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Gemma 3n E2B
2025-06-26
3 months newer
Performance comparison across key benchmark categories
Gemma 3n E2B
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Llama 3.1 Nemotron Nano 8B V1
Gemma 3n E2B
Llama 3.1 Nemotron Nano 8B V1