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 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Gemma 3n E2B
2025-06-26
8 months newer
Average performance across 3 common benchmarks
Gemma 3n E2B
Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories
Gemma 3n E2B
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Llama 3.1 Nemotron 70B Instruct
Gemma 3n E2B
Llama 3.1 Nemotron 70B Instruct