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Gemma 3 1B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 16.7% higher average benchmark score. Overall, Gemma 3 1B is the stronger choice for coding tasks.
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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
Gemma 3 1B
2025-03-12
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 20 common benchmarks
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Gemma 3 1B
Average Score:26.9%(+16.7%)
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Phi 4 Mini Reasoning
Average Score:10.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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 3 1B
0 providers
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Phi 4 Mini Reasoning
0 providers
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Gemma 3 1B
Avg Score:26.9%(+16.7%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:10.2%
Providers:0