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Gemma 2 27B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 1.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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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 27B
2024-06-27
Phi 4 Mini
Microsoft
2025-02-01
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Average performance across 9 common benchmarks
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Gemma 2 27B
Average Score:72.7%
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Phi 4 Mini
Average Score:74.6%(+1.8%)
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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
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Gemma 2 27B
0 providers
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Phi 4 Mini
0 providers
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Gemma 2 27B
Avg Score:72.7%
Providers:0
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Phi 4 Mini
Avg Score:74.6%(+1.8%)
Providers:0