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Gemma 3n E4B Instructed vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 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 Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Gemma 3n E4B Instructed
Average Score:27.0%(+0.4%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:26.7%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
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 70B Instruct
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Gemma 3n E4B Instructed
Avg Score:27.0%(+0.4%)
Providers:1
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Llama 3.1 Nemotron 70B Instruct
Avg Score:26.7%
Providers:0