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Phi 4 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 leads with 4.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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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.
4 months newer
Phi 4
Microsoft
2024-12-12
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi 4
Average Score:56.1%(+4.1%)
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Phi 4 Mini Reasoning
Average Score:52.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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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Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Phi 4 Mini Reasoning
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Phi 4
Avg Score:56.1%(+4.1%)
Providers:1
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0