LPS-Bench - Inefficient Planning and Resource Waste: leaderboard
Metric: Success-conditioned safe rate (%): the share of agent trajectories that meet the case's own safety criterion at every planning and tool-calling step (a benign case is safe when completed with the needed safeguards or paused for clarification, an adversarial case when the agent refuses or halts before harm), among trajectories labeled safe or unsafe by a DeepSeek-R1 evaluator (execution failures excluded); on the 67 benign user-induced cases of risk type IP (plans that waste resources or cost (for example failing to parallelize)); LPS-Bench's 570 human-reviewed long-horizon tool-use cases with simulated MCP-style toolkits, each model in one LangChain agent at temperature 1 with up to 100 steps; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.5 | 95.52 | #138 |
| 2 | Gemini 3 Pro | 94.03 | #77 |
| 3 | GPT-5.1 | 89.55 | #131 |
| 4 | GPT-5 | 61.19 | #91 |
| 5 | Claude 3.5 Sonnet | 56.72 | #337 |
| 6 | Claude Sonnet 4 | 37.31 | #194 |
| 7 | Gemini 2.5 Pro | 31.34 | #145 |
| 8 | DeepSeek V3.1 | 28.36 | #260 |
| 9 | DeepSeek V3.2 | 14.93 | #198 |
| 10 | Qwen 3 32B | 10.45 | #424 |
| 11 | Llama 3.1 8B Instruct | 4.48 | #1018 |
| 12 | Llama 3.1 70B Instruct | 4.48 | #548 |
| 13 | Qwen 3 8B | 2.99 | #667 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=lps-bench-inefficient-planning-and-resource-waste · How It Works · Data refreshed daily, snapshot 2026-10-11.