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Gemma 2 27B vs Phi 4
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 9.5% 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Gemma 2 27B
2024-06-27
Phi 4
Microsoft
2024-12-12
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 2 27B
Average Score:42.5%(+9.5%)
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Phi 4
Average Score:33.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4
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
1 providers
DeepInfra
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Gemma 2 27B
Avg Score:42.5%(+9.5%)
Providers:0
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Phi 4
Avg Score:33.0%
Providers:1