SIS-Bench - Spatio-Temporal Consistency: leaderboard

Metric: Accuracy (%; 241 spatio-temporal 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 2031. 26 models tracked.

Top models

#ModelScore
1Gemini 3 Flash (Preview)57.7
2GPT-5.457.3
3Seed 1.857.3
4Qwen 3 VL 8B (Thinking)55.6
5Qwen 3.5 Plus54.8
6Step3 VL 10B54.4
7Kimi K2.553.1
8Qwen 3 VL 8B Instruct51
9GLM-4.1V-9B (Thinking)49.8
10Qwen 3 VL 30B A3B Instruct47.7
11InternVL3.5-8B47.3
12Qwen 3 VL 4B Instruct47.3
13Qwen 2 VL 7B Instruct47.3
14InternVL3-14B46.1
15Qwen 2.5 VL 7B Instruct41.5

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