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Gemma 2 27B vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 25.6% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. 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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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
12 months newer
Gemma 2 27B
2024-06-27
Gemma 3n E2B
2025-06-26
Average performance across 18 common benchmarks
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Gemma 2 27B
Average Score:61.4%(+25.6%)
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Gemma 3n E2B
Average Score:35.8%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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
0 providers
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Gemma 2 27B
Avg Score:61.4%(+25.6%)
Providers:0
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Gemma 3n E2B
Avg Score:35.8%
Providers:0