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Gemma 3n E2B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 21.6% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Phi 4 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-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
6 months newer
Phi 4
Microsoft
2024-12-12
Gemma 3n E2B
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 E2B
Average Score:53.9%
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Phi 4
Average Score:75.5%(+21.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
Phi 4
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 4
1 providers
DeepInfra
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Gemma 3n E2B
Avg Score:53.9%
Providers:0
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Phi 4
Avg Score:75.5%(+21.6%)
Providers:1