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Gemma 2 27B vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 3.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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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.
10 months newer
Gemma 2 27B
2024-06-27
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 32 common benchmarks
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Gemma 2 27B
Average Score:34.6%
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:38.4%(+3.9%)
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Knowledge Cutoff
Training data recency comparison
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 2 27B
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Gemma 2 27B
Avg Score:34.6%
Providers:0
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:38.4%(+3.9%)
Providers:0