physics benchmark
Global PIQA is a multilingual commonsense reasoning benchmark that evaluates physical interaction knowledge across 100 languages and cultures. It tests AI systems' understanding of physical world knowledge in diverse cultural contexts through multiple choice questions about everyday situations requiring physical commonsense.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | GO | 93.4% | 100.0% | 13 | C | |
| 2 | GO | 92.8% | 91.7% | 13 | C | |
| 3 | AC | 91.4% | 83.3% | 13 | C | |
| 4 | AC | 90.3% | 75.0% | 13 | C | |
| 5 | AC | 89.8% | 66.7% | 13 | C | |
| 6 | AC | 89.8% | 58.3% | 13 | C | |
| 7 | AC | 88.4% | 50.0% | 13 | C | |
| 8 | AC | 87.5% | 41.7% | 13 | C | |
| 9 | AC | 86.6% | 33.3% | 13 | C | |
| 10 | AC | 83.2% | 25.0% | 13 | C | |
| 11 | AC | 78.9% | 16.7% | 13 | C | |
| 12 | AC | 69.3% | 8.3% | 13 | C | |
| 13 | AC | 59.4% | 0.0% | 13 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
Global PIQA is a multilingual commonsense reasoning benchmark that evaluates physical interaction knowledge across 100 languages and cultures. It tests AI systems' understanding of physical world knowledge in diverse cultural contexts through multiple choice questions about everyday situations requiring physical commonsense.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Global PIQA.
Gemini 3 Pro is currently ranked first with 93.4%.
Global PIQA is a multilingual commonsense reasoning benchmark that evaluates physical interaction knowledge across 100 languages and cultures. It tests AI systems' understanding of physical world knowledge in diverse cultural contexts through multiple choice questions about everyday situations requiring physical commonsense.
Yes. Higher values rank better for this benchmark.
13 unique published model results are currently shown.
This benchmark is marked as eligible for the current LLMBoard capability methodology.