SIS-Bench - Landmark Order: leaderboard

SIS-Bench (2026) tests multimodal LLMs on UAV self-awareness and spatial cognition with four-option questions about drone videos. The landmark order task asks for the order in which landmarks appear in a video stitched from several clips; accuracy in percent, higher is better.

Metric: Accuracy (%; 306 landmark order 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
1Kimi K2.598#256
2Qwen 3.5 Plus97.7#232
3Seed 1.896.1#242
4Qwen 3 VL 8B Instruct95.8#981
5Qwen 3 VL 30B A3B Instruct95.1#871
6Qwen 3 VL 8B (Thinking)95.1#887
7GPT-5.494.8#123
8InternVL3-14B94.8#1182
9Gemini 3 Flash (Preview)94.4#144
10Qwen 3 VL 4B Instruct93.8#1279
11GLM-4.1V-9B (Thinking)93.5#1060 (GLM-4.1V-9B)
12Qwen 2.5 VL 7B Instruct73.2#1833
13Qwen 2 VL 7B Instruct71.6#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-landmark-order · How It Works · Data refreshed daily, snapshot 2026-11-13.