Agentic benchmark
DeepPlanning leaderboard
Every model the catalog carries a published DeepPlanning value for, ranked by that value.
A long-horizon planning benchmark that tests whether agents can optimize under explicit time, budget, and feasibility constraints.
DeepPlanning ranking
7 models with a published DeepPlanning value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Long-horizon planning benchmark |
|---|---|---|---|
| 1 |  Qwen3.7 Plus | Alibaba | 62.3 |
| 2 | Qwen3.6 Plus | Alibaba | 41.5 |
| 3 | Qwen3.5 397B | Alibaba | 37.6 |
| 4 |  Claude Opus 4.5 | Anthropic | 26.4 |
| 5 | Qwen3.6-35B-A3B | Alibaba | 25.9 |
| 6 |  GLM-5 | Z.AI | 14.6 |
| 7 |  Kimi K2.5 | Moonshot AI | 14.4 |
Evidence key: Observed
Rows are ordered by the value DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.