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Gemma 3n E2B vs Gemma 3n E2B Instructed
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 1.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 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.
Launched on the same date
Gemma 3n E2B
2025-06-26
Gemma 3n E2B Instructed
2025-06-26
Average performance across 29 common benchmarks
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Gemma 3n E2B
Average Score:22.2%(+1.3%)
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Gemma 3n E2B Instructed
Average Score:20.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
Gemma 3n E2B Instructed
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 E2B Instructed
0 providers
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Gemma 3n E2B
Avg Score:22.2%(+1.3%)
Providers:0
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Gemma 3n E2B Instructed
Avg Score:20.9%
Providers:0