Logical-CommonsenseQA - OR: leaderboard
Options that assert at least one statement is plausible (OR). Logical-CommonsenseQA (Junias and Pacheco, University of Colorado Boulder, 2026) rewrites CommonsenseQA questions so that every option joins two atomic statements with a plausibility operator, and the model picks the one option whose composite plausibility fits. Models answer zero-shot (the authors' fine-tunes on the training split share this board); macro-F1 in percent over the 250 human-validated test questions, with a single-letter answer at temperature 0; higher is better.
Metric: Macro-F1 (%; at least one composed statement must be plausible; zero-shot prompt, or the authors' fine-tunes on the training split; 250 human-validated four-option test questions). Source: arxiv.org. Saturation forecast: Around April 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Flash | 76.7 | #452 |
| 2 | Llama 3.3 70B Instruct | 70.9 | #1353 |
| 3 | Gemini 3 Flash (Preview) | 70.1 | #141 |
| 4 | Qwen 2.5 7B Instruct | 68.9 | #2583 |
| 5 | Llama 3.1 8B Instruct | 62.2 | #4277 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=logical-commonsenseqa-or · How It Works · Data refreshed daily, snapshot 2026-11-12.