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Gemma 2 27B vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 27.3% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, 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.
8 months newer
Gemma 2 27B
2024-06-27
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Average performance across 22 common benchmarks
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Gemma 2 27B
Average Score:50.3%(+27.3%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:23.0%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
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 2 27B
0 providers
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Gemma 2 27B
Avg Score:50.3%(+27.3%)
Providers:0
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:23.0%
Providers:0