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Gemma 3n E2B vs Gemma 3n E4B Instructed LiteRT Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 27.3% higher average benchmark score. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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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.
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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.
1 month newer
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Gemma 3n E2B
2025-06-26
Average performance across 28 common benchmarks
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Gemma 3n E2B
Average Score:23.0%
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:50.3%(+27.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
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 3n E2B
0 providers
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Gemma 3n E4B Instructed LiteRT Preview
0 providers
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Gemma 3n E2B
Avg Score:23.0%
Providers:0
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:50.3%(+27.3%)
Providers:0