Causal-Plan-Bench - Executability: leaderboard
Metric: Executability score: mean four-choice accuracy (%) after answer normalization over the spatial precondition, affordance precondition and physical feasibility 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 2034. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-6 | 46.33 |
| 2 | Seed 2.1 Pro | 42 |
| 3 | Gemini 3.1 Pro (Preview) | 40.67 |
| 4 | GPT-5.6 Sol | 39.67 |
| 5 | Qwen 3 VL 8B Instruct | 38.67 |
| 6 | InternVL3.5-8B | 38.33 |
| 7 | GPT-4o | 35.33 |
| 8 | Kimi K2.5 | 33.67 |
Interactive version: theaggregate.ai/benchmark?slug=causal-plan-bench-executability · How It Works · Data refreshed daily, snapshot 2026-09-29.