+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E2B Instructed vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 8.8% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
+
+
+
+
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
+
+
+
+
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 E2B Instructed
2025-06-26
Average performance across 25 common benchmarks
+
+
+
+
Gemma 3n E2B Instructed
Average Score:24.3%
+
+
+
+
Phi 4 Reasoning
Average Score:33.1%(+8.8%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
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
+
+
+
+
Gemma 3n E2B Instructed
0 providers
+
+
+
+
Phi 4 Reasoning
0 providers
+
+
+
+
Gemma 3n E2B Instructed
Avg Score:24.3%
Providers:0
+
+
+
+
Phi 4 Reasoning
Avg Score:33.1%(+8.8%)
Providers:0