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Gemma 3n E2B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 21.0% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Gemma 3N E2B was created as a specialized efficient variant, designed for deployment in edge and mobile environments with strict resource constraints. Built with optimizations for edge computing, it brings Gemma capabilities to devices and applications where traditional models would be impractical.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
10 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3n E2B
2025-06-26
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Average performance across 7 common benchmarks
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Gemma 3n E2B
Average Score:62.7%
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Phi-3.5-MoE-instruct
Average Score:83.8%(+21.0%)
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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 3n E2B
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Gemma 3n E2B
Avg Score:62.7%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:83.8%(+21.0%)
Providers:0