reasoning benchmark
DeepPlanning evaluates LLMs on complex multi-step planning tasks requiring long-horizon reasoning, goal decomposition, and strategic decision-making.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AC | 62.3% | 100.0% | 9 | C | |
| 02 | AC | 41.5% | 87.5% | 9 | C | |
| 03 | AC | 34.3% | 75.0% | 9 | C | |
| 04 | AC | 25.9% | 62.5% | 9 | C | |
| 05 | AC | 24.1% | 50.0% | 9 | C | |
| 06 | AC | 22.8% | 37.5% | 9 | C | |
| 07 | AC | 22.6% | 25.0% | 9 | C | |
| 08 | AC | 18.0% | 12.5% | 9 | C | |
| 09 | AC | 17.6% | 0.0% | 9 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What DeepPlanning measures and how its scores work.
DeepPlanning evaluates LLMs on complex multi-step planning tasks requiring long-horizon reasoning, goal decomposition, and strategic decision-making.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about DeepPlanning.
Qwen3.7-Plus is currently ranked first with 62.3%.
DeepPlanning evaluates LLMs on complex multi-step planning tasks requiring long-horizon reasoning, goal decomposition, and strategic decision-making.
Yes. Higher values rank better for this benchmark.
9 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.