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Phi 4 Mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 1.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
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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.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Phi 4 Mini
Average Score:66.4%(+1.7%)
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Phi-3.5-mini-instruct
Average Score:64.7%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
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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Phi 4 Mini
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Phi 4 Mini
Avg Score:66.4%(+1.7%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:64.7%
Providers:1