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Gemma 3n E2B vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 7.8% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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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.
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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.
3 months newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Gemma 3n E2B
2025-06-26
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+7.8%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:28.1%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemma 3n E2B
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 E2B
0 providers
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Gemma 3n E2B
Avg Score:35.8%(+7.8%)
Providers:0
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:28.1%
Providers:0