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Gemma 2 9B vs Gemma 3n E4B Instructed LiteRT Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 11.7% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). 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 E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 9B
2024-06-27
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 32 common benchmarks
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Gemma 2 9B
Average Score:32.3%
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:44.0%(+11.7%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B 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 9B
0 providers
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Gemma 3n E4B Instructed LiteRT Preview
0 providers
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Gemma 2 9B
Avg Score:32.3%
Providers:0
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:44.0%(+11.7%)
Providers:0