+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 9B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 4.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
+
+
+
+
Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
7 months newer
Gemma 2 9B
2024-06-27
Phi 4 Mini
Microsoft
2025-02-01
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 9 common benchmarks
+
+
+
+
Gemma 2 9B
Average Score:69.6%
+
+
+
+
Phi 4 Mini
Average Score:74.6%(+4.9%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 2 9B
0 providers
+
+
+
+
Phi 4 Mini
0 providers
+
+
+
+
Gemma 2 9B
Avg Score:69.6%
Providers:0
+
+
+
+
Phi 4 Mini
Avg Score:74.6%(+4.9%)
Providers:0