SIS-Bench - Spatial Consistency: leaderboard

Metric: Accuracy (%; 195 spatial consistency 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 2028. 26 models tracked.

Top models

#ModelScore
1Kimi K2.576.4
2Qwen 3.5 Plus75.9
3Qwen 3 VL 4B Instruct73.3
4Gemini 3 Flash (Preview)71.8
5InternVL3-14B67.7
6Qwen 2.5 VL 7B Instruct67.7
7Qwen 3 VL 30B A3B Instruct67.7
8Seed 1.866.2
9Qwen 3 VL 8B Instruct64.6
10Qwen 3 VL 8B (Thinking)64.6
11GPT-5.464.1
12Step3 VL 10B64.1
13GLM-4.1V-9B (Thinking)63.6
14Qwen 2 VL 7B Instruct63.6
15InternVL3.5-8B55.4

Interactive version: theaggregate.ai/benchmark?slug=sis-bench-spatial-consistency · How It Works · Data refreshed daily, snapshot 2026-09-29.