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Gemma 3n E4B vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 1.9% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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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%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
8 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Gemma 3n E4B
2025-06-26
Average performance across 19 common benchmarks
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Gemma 3n E4B
Average Score:37.4%
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Llama 3.1 Nemotron 70B Instruct
Average Score:39.3%(+1.9%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B
0 providers
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Llama 3.1 Nemotron 70B Instruct
0 providers
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Gemma 3n E4B
Avg Score:37.4%
Providers:0
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Llama 3.1 Nemotron 70B Instruct
Avg Score:39.3%(+1.9%)
Providers:0