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Gemma 3 1B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 32.8% higher average benchmark score. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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Gemma 3 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer
Gemma 3 1B
2025-03-12
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 1 common benchmarks
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Gemma 3 1B
Average Score:19.2%
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Phi 4 Mini Reasoning
Average Score:52.0%(+32.8%)
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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:19.2%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:52.0%(+32.8%)
Providers:0