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Gemma 3n E2B vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 4.4% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-3.3 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.
3 months newer
Llama-3.3 Nemotron Super 49B 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%(+4.4%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:31.5%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1
0 providers
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Gemma 3n E2B
Avg Score:35.8%(+4.4%)
Providers:0
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Llama-3.3 Nemotron Super 49B v1
Avg Score:31.5%
Providers:0