Causal-Plan-Bench - Inter-Step Dependency: leaderboard
Metric: Open-ended inter-step dependency (how one step enables the next) 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 2036. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-6 | 40.2 |
| 2 | GPT-4o | 36.2 |
| 3 | Gemini 3.1 Pro (Preview) | 35.4 |
| 4 | GPT-5.6 Sol | 34 |
| 5 | Seed 2.1 Pro | 29.8 |
| 6 | Kimi K2.5 | 28.8 |
| 7 | InternVL3.5-8B | 28.4 |
| 8 | Qwen 3 VL 8B Instruct | 26 |
Interactive version: theaggregate.ai/benchmark?slug=causal-plan-bench-inter-step-dependency · How It Works · Data refreshed daily, snapshot 2026-09-29.