SafeSceneReason - Causal Reasoning: leaderboard

Metric: Accuracy (%; the 163 causal reasoning questions; single-answer multiple choice on the 1,000-question test set balanced across answer positions, built from workplace scene graphs and NIOSH FACE and CSB accident-report figures; temperature 0, unparseable answers counted wrong). Source: arxiv.org. Saturation forecast: Around December 2026. 8 models tracked.

Top models

#ModelScore
1GPT-5.6 Sol93.25
2GPT-5.590.8
3Gemini 3.1 Pro (Preview)83.44
4Gemini 3.5 Flash82.21
5Claude Fable 575.46
6Kimi K2.674.23
7Qwen 3.6 27B49.69
8Qwen 3.5 9B49.08

Interactive version: theaggregate.ai/benchmark?slug=safescenereason-causal-reasoning · How It Works · Data refreshed daily, snapshot 2026-09-26.