Logical-CommonsenseQA (3-Shot) - Mixed: leaderboard
Questions whose four options use different plausibility operators (Mixed). 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 see three labelled examples in the prompt; 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 (%; operators mixed across the four options of a question; three labelled examples in the prompt; 250 human-validated four-option test questions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 7B Instruct | 51.4 | #2583 |
| 2 | Llama 3.3 70B Instruct | 50.4 | #1353 |
| 3 | Llama 3.1 8B Instruct | 42.8 | #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-3-shot-mixed · How It Works · Data refreshed daily, snapshot 2026-11-12.