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Gemma 2 27B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
7 months newer
Gemma 2 27B
2024-06-27
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 24 common benchmarks
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Gemma 2 27B
Average Score:46.1%
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Phi 4 Mini
Average Score:46.3%(+0.2%)
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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:46.1%
Providers:0
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Phi 4 Mini
Avg Score:46.3%(+0.2%)
Providers:0