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Gemma 3n E2B Instructed LiteRT (Preview) vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 16.7% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
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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.
9 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Average performance across 13 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:57.0%
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Phi-3.5-MoE-instruct
Average Score:73.7%(+16.7%)
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Knowledge Cutoff
Training data recency comparison
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 LiteRT (Preview)
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:57.0%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:73.7%(+16.7%)
Providers:0