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Gemma 3n E2B Instructed vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 21.5% higher average benchmark score. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 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.
1 month newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Gemma 3n E2B Instructed
2025-06-26
Average performance across 29 common benchmarks
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Gemma 3n E2B Instructed
Average Score:20.9%
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:42.4%(+21.5%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
2024-06-01
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
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Gemma 3n E2B Instructed
Avg Score:20.9%
Providers:0
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:42.4%(+21.5%)
Providers:0