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Gemma 3n E2B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 12.3% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Phi-3.5-mini-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 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.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemma 3n E2B
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemma 3n E2B
Average Score:62.7%
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Phi-3.5-mini-instruct
Average Score:75.0%(+12.3%)
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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-mini-instruct
1 providers
Azure
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Gemma 3n E2B
Avg Score:62.7%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:75.0%(+12.3%)
Providers:1