AdaPlanBench - Effectiveness: leaderboard
Metric: Effectiveness rubric (1-5): whether the plan, carried out as written, would achieve the goal; mean score (1-5) from three rubric judges (GPT-4.1, DeepSeek-V3.2, Qwen3.6-Flash) over the agent's plans, 307 household planning tasks with progressively revealed world and user constraints at the mid-level constraint profile: a hidden constraint is disclosed only when a proposed plan violates it (GPT-5.4 constraint judges), and the agent re-plans within the turn budget; temperature 0 (GPT-5 family at its fixed default, mean of three runs); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 4.57 |
| 2 | GPT-5 Mini | 4.37 |
| 3 | Gemini 3.1 Pro (Preview) | 4.06 |
| 4 | Gemini 3 Flash | 4 |
| 5 | GPT-5 Nano | 3.97 |
| 6 | DeepSeek V4 Flash | 3.87 |
| 7 | Llama 3.3 70B Instruct | 3.24 |
| 8 | Qwen 3 32B | 3.09 |
| 9 | Qwen 3 14B | 3.03 |
| 10 | Qwen 3 8B | 2.96 |
Interactive version: theaggregate.ai/benchmark?slug=adaplanbench-effectiveness · How It Works · Data refreshed daily, snapshot 2026-09-29.