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Gemma 3n E4B Instructed vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 28.3% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Gemma 3n E4B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3n E4B Instructed
Average Score:23.7%
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Phi 4 Mini Reasoning
Average Score:52.0%(+28.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
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
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Phi 4 Mini Reasoning
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Gemma 3n E4B Instructed
Avg Score:23.7%
Providers:1
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Phi 4 Mini Reasoning
Avg Score:52.0%(+28.3%)
Providers:0