Phi-3-small-128k-instruct: benchmark results
Microsoft's 7B Phi-3 Small instruct model with a 128K context, trained on synthetic and filtered web data. Provider: Microsoft. Released 2024-05-07. Access: Open.
Unified ELO 1474 ± 1, rank #819 of 1392 rated models, from 21 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard - BBH | 45.63 | Score | 85.7 |
| Open LLM Leaderboard - MMLU-Pro | 38.78 | Score | 83.5 |
| Open LLM Leaderboard - MuSR | 14.5 | Score | 79.2 |
| Enkrypt AI - Safety Risk | 21.28 | Risk Score | 78.6 |
| Open LLM Leaderboard - IFEval | 63.68 | Score | 75.9 |
| Open LLM Leaderboard - GPQA | 8.95 | Score | 73.2 |
| Open LLM Leaderboard - MATH Level 5 | 20.26 | Score | 71.4 |
| Enkrypt AI - Insecure Code Risk | 17.33 | Risk Score | 70.6 |
| BenchBench | 65.61 | Aggregate Score (%) | 69.9 |
| Enkrypt AI - Risk Score | 30.39 | Risk Score | 57.6 |
| ChineseSafe Benchmark | 67.43 | Accuracy (%) | 55.6 |
| Enkrypt AI - Toxicity Risk | 3.27 | Risk Score | 51.5 |
Interactive version: theaggregate.ai/model?slug=phi-3-small-128k-instruct · How It Works · Data refreshed daily, snapshot 2026-09-05.