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Gemma 3n E2B Instructed vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 4.2% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3N E2B IT was developed as the instruction-tuned version of Gemma 3N E2B, designed to follow user instructions while maintaining edge-optimized efficiency. Built for applications requiring both compact size and reliable instruction-following, it extends conversational AI to resource-constrained environments.
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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 Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemma 3n E2B Instructed
Average Score:50.3%
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Phi-3.5-mini-instruct
Average Score:54.5%(+4.2%)
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Knowledge Cutoff
Training data recency comparison
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 Instructed
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Gemma 3n E2B Instructed
Avg Score:50.3%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:54.5%(+4.2%)
Providers:1