reasoning benchmark
DeepPlanning Leaderboard
DeepPlanning is a reasoning benchmark that evaluates LLMs on complex multi-step planning tasks requiring long-horizon reasoning, goal decomposition, and strategic decision-making.
Updated Sep 5, 2026
Models9
Model coverage9
MetricScore
EvidenceB
DeepPlanning Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score62.30% | Percentile100.00% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score41.50% | Percentile87.50% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score34.30% | Percentile75.00% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score25.90% | Percentile62.50% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score24.10% | Percentile50.00% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score22.80% | Percentile37.50% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score22.60% | Percentile25.00% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score18.00% | Percentile12.50% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score17.60% | Percentile0.00% | Participants9 | EvidenceC | Evaluated |
DeepPlanning Highlights
The leading models and scores on this benchmark.
DeepPlanning Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for DeepPlanning
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is DeepPlanning?
What DeepPlanning measures and how its scores work.
DeepPlanning is a benchmark for evaluating LLMs on complex multi-step planning tasks.
It measures performance using the Score metric, expressed as a ratio, on tasks involving 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.
- Family
- DeepPlanning
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about DeepPlanning.
Which model scores highest on DeepPlanning?
Qwen3.7-Plus is currently ranked first with 62.30%.
What are the top three models on DeepPlanning?
The current leaders are Qwen3.7-Plus (62.30%), Qwen3.6 Plus (41.50%), and Qwen3.5-397B-A17B (34.30%).
Which DeepPlanning model has the lowest official input price?
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
Which models are fastest among DeepPlanning results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.