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Gemma 3n E4B Instructed vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 13.4% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
2 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemma 3n E4B Instructed
Average Score:36.0%(+13.4%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:22.6%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Llama 3.1 Nemotron Ultra 253B v1
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Gemma 3n E4B Instructed
Avg Score:36.0%(+13.4%)
Providers:1
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:22.6%
Providers:0