Phi 4 Mini
Zero-eval
#2Multilingual MMLU
#3OpenBookQA
#3Social IQa
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by Microsoft
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About
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Timeline
AnnouncedFeb 1, 2025
ReleasedFeb 1, 2025
Knowledge CutoffJun 1, 2024
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Specifications
Training Tokens5.0T
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
17 benchmarks
Average Score
65.4%
Best Score
88.6%
High Performers (80%+)
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All Benchmark Results for Phi 4 Mini
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.89 | 88.6% | Self-reported | |
| ARC-C | text | 0.84 | 83.7% | Self-reported | |
| BoolQ | text | 0.81 | 81.2% | Self-reported | |
| OpenBookQA | text | 0.79 | 79.2% | Self-reported | |
| PIQA | text | 0.78 | 77.6% | Self-reported | |
| Social IQa | text | 0.72 | 72.5% | Self-reported | |
| BIG-Bench Hard | text | 0.70 | 70.4% | Self-reported | |
| HellaSwag | text | 0.69 | 69.1% | Self-reported | |
| MMLU | text | 0.67 | 67.3% | Self-reported | |
| Winogrande | text | 0.67 | 67.0% | Self-reported |
Showing 1 to 10 of 17 benchmarks