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Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 24.3% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. 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.
1 month newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 31 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:39.7%(+24.3%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:15.3%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemma 3n E2B Instructed LiteRT (Preview)
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 Instructed LiteRT (Preview)
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:39.7%(+24.3%)
Providers:0
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:15.3%
Providers:0