DAR (Dynamic Affective Reasoning) - Reasoning Quality: leaderboard
DAR (Dynamic Affective Reasoning, 2026) affective reasoning: a GPT-4o judge rates each model rationale for why the viewer emotion arises and changes on five dimensions from 0 to 5. Average score out of 5, higher is better.
Metric: GPT-Score (out of 5): GPT-4o judge rating of each rationale for visual grounding, causal logic, viewer centricity, temporal consistency and answer consistency, averaged over the five; 1,441 test videos of the DAR viewer-centric emotion dataset (27 emotion categories, emotions changing across consecutive events); the model segments the video into affective segments, labels each segment's emotion and writes a causal rationale; off-the-shelf models without fine-tuning on DAR. Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 VL 7B Instruct | 2.6 | #1833 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=dar-dynamic-affective-reasoning-reasoning-quality · How It Works · Data refreshed daily, snapshot 2026-11-13.