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Gemma 3n E4B Instructed vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning Plus leads with 4.4% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). 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 Plus
Microsoft
2025-04-30
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemma 3n E4B Instructed
Average Score:30.3%
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Phi 4 Reasoning Plus
Average Score:34.7%(+4.4%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
Phi 4 Reasoning Plus
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 Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Phi 4 Reasoning Plus
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Gemma 3n E4B Instructed
Avg Score:30.3%
Providers:1
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Phi 4 Reasoning Plus
Avg Score:34.7%(+4.4%)
Providers:0