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Gemma 3n E2B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 9.3% 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 is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
6 months newer
Phi 4
Microsoft
2024-12-12
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 3n E2B
Average Score:28.0%
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Phi 4
Average Score:37.3%(+9.3%)
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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:28.0%
Providers:0
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Phi 4
Avg Score:37.3%(+9.3%)
Providers:1