reasoning benchmark
DeepPlanning evaluates LLMs on complex multi-step planning tasks requiring long-horizon reasoning, goal decomposition, and strategic decision-making.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score62.3% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score41.5% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score34.3% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score25.9% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score24.1% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score22.8% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score22.6% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score18.0% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score17.6% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis deepplanning AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3.7-Plus currently leads DeepPlanning with 62.3%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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.