Causal-Plan-Bench - State Evolution: leaderboard

An open-ended task of Causal-Plan-Bench (2026): models describe the ongoing action in a keyframe and the immediate state change it causes, over 100 held-out video items; a GPT-5.6-sol rubric judge scores each answer against a human-verified reference on a 0-100 scale. Items come from egocentric and robot video and every model sees the same instruction and evidence; higher is better.

Metric: Open-ended state evolution (the ongoing action and its immediate state change) task, rubric score (0-100): a blind GPT-5.6-sol judge scores each open-ended answer against a human-verified reference from 0 to 1, times 100; 100 held-out expert-reviewed items per task drawn from egocentric and robot video (EPIC-KITCHENS, Ego4D, HoloAssist and others), the same instruction, visual evidence and answer format for every model, temperature 0.2, mean of three regenerated runs; higher is better. Source: arxiv.org. Saturation forecast: Around 2033. 14 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra42.8#6
2Gemini 3.1 Pro (Preview)40.8#94
3Seed 2.1 Pro39.8#135
4GPT-5.6 Sol35.2#30
5Qwen 3 VL 8B Instruct34.8#981
6GPT-4o34#741
7Kimi K2.533.6#256

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

Interactive version: theaggregate.ai/benchmark?slug=causal-plan-bench-state-evolution · How It Works · Data refreshed daily, snapshot 2026-11-13.