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Gemma 3n E4B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 5.3% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi 4 Reasoning
Microsoft
2025-04-30
Gemma 3n E4B
2025-06-26
Average performance across 22 common benchmarks
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Gemma 3n E4B
Average Score:32.3%
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Phi 4 Reasoning
Average Score:37.6%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
Phi 4 Reasoning
2025-03-01
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
0 providers
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Phi 4 Reasoning
0 providers
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Gemma 3n E4B
Avg Score:32.3%
Providers:0
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Phi 4 Reasoning
Avg Score:37.6%(+5.3%)
Providers:0