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Phi 4 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 leads with 23.6% higher average benchmark score. Overall, Phi 4 is the stronger choice for coding tasks.
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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 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.
1 month newer
Phi 4
Microsoft
2024-12-12
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Phi 4
Average Score:74.6%(+23.6%)
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Phi 4 Mini
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Phi 4 Mini
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Phi 4
Avg Score:74.6%(+23.6%)
Providers:1
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Phi 4 Mini
Avg Score:51.0%
Providers:0