Microsoft·released 2024-04-231 source
phi-3-mini 3.8B benchmark scores: 8 benchmarks tracked, leading 1. 0% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 1 of 8 benchmarks·best result 84 on OpenBookQA (self-reported)·0 of 8 independently reproduced
Head-to-headphi-3-mini 3.8B vs phi-3-small 7.4BLeads on: OpenBookQA
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OpenBookQA | 84accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| ARC AI2 | 79.87accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| HellaSwag | 68.93accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| TriviaQA | 64accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| BBH | 62.27accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| MMLU | 58.4accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| Winogrande | 41.6accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
| ANLI | 29.2accuracy (%) | self-reported· optimizedT1 | 2024-04-23Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone |
Claims drawn from cited facts, not live model generation.
This model was developed by Microsoft and released in 2024.
2 cited facts
This model is scored on 8 tracked benchmarks and currently leads 1 of them. However, these scores are self-reported, meaning they are vendor-claimed without independent verification, so they should be treated as claims rather than confirmed results.
3 cited facts
The model trails the state-of-the-art by an average of 19.51 points, placing it well behind the leaders. It holds the top score on 1 benchmark, but this does not change its overall position far from the frontier.
2 cited facts
1 facts cross-checked across data sources: 1 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks
phi-3-mini 3.8B is an AI model developed by Microsoft, released 2024-04-23. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
phi-3-mini 3.8B has recorded scores on 8 benchmarks, each shown with its evidence status.
phi-3-mini 3.8B has recorded scores on 8 benchmarks — OpenBookQA, Winogrande, TriviaQA, MMLU, ARC AI2, ANLI, and 2 more. The full table above shows each score with its evidence status.
0 of 8 recorded scores (0%) are independently reproduced rather than self-reported by the lab.
phi-3-mini 3.8B has 8 tracked claims: 8 self-reported.