SIS-Bench - Path Planning: leaderboard

SIS-Bench (2026) tests multimodal LLMs on UAV self-awareness and spatial cognition with four-option questions about drone videos. The path planning task asks which action sequence reaches a target from a start point in a long flight; accuracy in percent, higher is better.

Metric: Accuracy (%; 272 path planning questions; four-option multiple choice on UAV videos (at most 32 frames), zero-shot, open models through vLLM with at most 128 generated tokens and proprietary models through their APIs; higher is better). Source: arxiv.org. Saturation forecast: Around February 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.458.8#123
2Qwen 3.5 Plus58.5#232
3Kimi K2.557#256
4Seed 1.854#242
5Gemini 3 Flash (Preview)53.7#144
6Qwen 3 VL 8B Instruct48.9#981
7Qwen 3 VL 30B A3B Instruct48.9#871
8Qwen 3 VL 8B (Thinking)46.3#887
9GLM-4.1V-9B (Thinking)43.4#1060 (GLM-4.1V-9B)
10Qwen 3 VL 4B Instruct36.4#1279
11Qwen 2.5 VL 7B Instruct31.6#1833
12InternVL3-14B31.6#1182
13Qwen 2 VL 7B Instruct22.1#2553

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=sis-bench-path-planning · How It Works · Data refreshed daily, snapshot 2026-11-13.