Benchmark profile

DeepPlanning

A long-horizon planning benchmark that tests whether agents can optimize under explicit time, budget, and feasibility constraints.

Data verified July 23, 2026

Benchmark score on DeepPlanning — July 23, 2026

BenchLM mirrors the published score view for DeepPlanning. Qwen3.7 Plus leads the public snapshot at 62.3% , followed by Qwen3.6 Plus (41.5%) and Qwen3.5 397B (37.6%). BenchLM does not use these results to rank models overall.

1Closed

Qwen3.7 Plus

Alibaba

qwen3-7-plus

62.3%

Overall 67.22Context 1M

2Closed

Qwen3.6 Plus

Alibaba

qwen3-6-plus

41.5%

Overall 65.2Context 1M

3Open

Qwen3.5 397B

Alibaba

qwen3-5-397b

37.6%

Overall 57.01Context 128K

7 modelsAgenticCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (7 models)

Score

Qwen3.7 PlusAlibaba · Closed

62.3%

Qwen3.6 PlusAlibaba · Closed

41.5%

Qwen3.5 397BAlibaba · Open weight

37.6%

Claude Opus 4.5Anthropic · Closed

26.4%

Qwen3.6-35B-A3BAlibaba · Open weight

25.9%

GLM-5Z.AI · Open weight

14.6%

Kimi K2.5Moonshot AI · Open weight

14.4%

The published DeepPlanning snapshot places Qwen3.7 Plus first at 62.3%. The third row is 24.7 points behind. The broader top-10 range is 47.9 points, so the table still separates the published systems.

7 models have been evaluated on DeepPlanning. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. DeepPlanning is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About DeepPlanning

Year

2026

Tasks

Travel planning and constrained shopping

Format

Long-horizon planning benchmark

Difficulty

Constrained agent planning

DeepPlanning focuses on global constrained optimization rather than local next-step reasoning. It is useful because many agents can execute short actions but still fail when they must gather information and plan coherently over a long horizon under hard constraints.

DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints

BenchLM freshness & provenance

Version

DeepPlanning 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does DeepPlanning measure?

A long-horizon planning benchmark that tests whether agents can optimize under explicit time, budget, and feasibility constraints.

Which model scores highest on DeepPlanning?

Qwen3.7 Plus by Alibaba currently leads with a score of 62.3% on DeepPlanning.

How many models are evaluated on DeepPlanning?

7 AI models have been evaluated on DeepPlanning on BenchLM.

Compare Top Models on DeepPlanning

Qwen3.7 Plus vs Qwen3.6 Plus Qwen3.6 Plus vs Qwen3.5 397B Qwen3.5 397B vs Claude Opus 4.5 Claude Opus 4.5 vs Qwen3.6-35B-A3B

Last updated: July 23, 2026 · BenchLM version DeepPlanning 2026

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