Causal-Plan-Bench - Composition: leaderboard
Metric: Composition score: mean 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, over the state evolution, strategic rationale and inter-step dependency tasks; 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 2035. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-6 | 42 |
| 2 | Gemini 3.1 Pro (Preview) | 37.13 |
| 3 | GPT-5.6 Sol | 33.73 |
| 4 | GPT-4o | 32.6 |
| 5 | Seed 2.1 Pro | 31.93 |
| 6 | Kimi K2.5 | 31.7 |
| 7 | InternVL3.5-8B | 28.93 |
| 8 | Qwen 3 VL 8B Instruct | 28.1 |
Interactive version: theaggregate.ai/benchmark?slug=causal-plan-bench-composition · How It Works · Data refreshed daily, snapshot 2026-09-29.