SIS-Bench - Positional Relationship: leaderboard

SIS-Bench (2026) tests multimodal LLMs on UAV self-awareness and spatial cognition with four-option questions about drone videos. The positional relationship task asks which object lies in a given direction of a reference object across a stitched video; accuracy in percent, higher is better.

Metric: Accuracy (%; 252 positional relationship 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: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)89.7#144
2Qwen 3.5 Plus87.7#232
3Seed 1.887.7#242
4Kimi K2.587.3#256
5GPT-5.486.9#123
6Qwen 3 VL 30B A3B Instruct85.3#871
7Qwen 3 VL 8B Instruct82.9#981
8Qwen 3 VL 4B Instruct82.1#1279
9InternVL3-14B81.3#1182
10Qwen 3 VL 8B (Thinking)79.8#887
11GLM-4.1V-9B (Thinking)75.4#1060 (GLM-4.1V-9B)
12Qwen 2.5 VL 7B Instruct69#1833
13Qwen 2 VL 7B Instruct69#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-positional-relationship · How It Works · Data refreshed daily, snapshot 2026-11-13.