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Gemma 2 27B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 10.3% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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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 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.
10 months newer
Gemma 2 27B
2024-06-27
Phi 4 Reasoning
Microsoft
2025-04-30
Average performance across 27 common benchmarks
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Gemma 2 27B
Average Score:41.0%(+10.3%)
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Phi 4 Reasoning
Average Score:30.6%
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Knowledge Cutoff
Training data recency comparison
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
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Gemma 2 27B
0 providers
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Phi 4 Reasoning
0 providers
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Gemma 2 27B
Avg Score:41.0%(+10.3%)
Providers:0
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Phi 4 Reasoning
Avg Score:30.6%
Providers:0