+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 8.0% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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 E4B
2025-06-26
Average performance across 18 common benchmarks
+
+
+
+
Gemma 3n E4B
Average Score:39.5%(+8.0%)
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Average Score:31.5%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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
+
+
+
+
Gemma 3n E4B
0 providers
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
0 providers
+
+
+
+
Gemma 3n E4B
Avg Score:39.5%(+8.0%)
Providers:0
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Avg Score:31.5%
Providers:0