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Gemma 3n E4B Instructed LiteRT Preview vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 2.8% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3N E4B IT LiteRT Preview was introduced as an experimental LiteRT-optimized version, designed to showcase advanced on-device AI capabilities. Built to demonstrate the feasibility of running capable instruction-tuned models on mobile platforms, it represents the cutting edge of edge AI development.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:62.8%
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Phi-3.5-mini-instruct
Average Score:65.6%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
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 E4B Instructed LiteRT Preview
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:62.8%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:65.6%(+2.8%)
Providers:1