NarrativeTrack: leaderboard

NarrativeTrack (Ha et al., 2026; Apple) evaluates entity-centric temporal reasoning for video understanding across 1,006 human-verified question-answer pairs over 406 clips drawn from AVA, Video-MME and LVBench, probing an entity's existence, action, outfit and scene changes, and identity ambiguity through binary, multiple-choice and ordering questions. The score is the average exact-match accuracy over the thirteen question cells, as a percentage where higher is better; open-source models are given 20 frames per video and proprietary models 128.

Metric: Accuracy (%; mean exact-match over 13 binary, multiple-choice and ordering question cells across five entity-centric reasoning dimensions). Source: arxiv.org. Saturation forecast: Around February 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro83.8#262
2Gemini 3.1 Pro (Preview)83.4#91
3Gemini 3 Flash79.32#159
4GPT-4.174.85#492
5Gemini 2.5 Flash74.25#452
6GPT-4o72.27#741
7Gemini 2.0 Flash60.24#702
8Qwen 2.5 VL 32B Instruct56.96#1055
9InternVL3-38B55.47#905
10InternVL3-8B48.81#1695
11Qwen 2.5 VL 7B Instruct48.81#1842

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=narrativetrack · How It Works · Data refreshed daily, snapshot 2026-11-12.