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Phi 4 Mini Reasoning vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 21.6% higher average benchmark score. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
8 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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 Mini Reasoning
Average Score:52.0%(+21.6%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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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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Phi 4 Mini Reasoning
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Phi 4 Mini Reasoning
Avg Score:52.0%(+21.6%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1