SIS-Bench - Action Recognition: leaderboard

SIS-Bench (2026) tests multimodal LLMs on UAV self-awareness and spatial cognition with four-option questions about drone videos. The action recognition task asks which flight action the drone performs in a video; accuracy in percent, higher is better.

Metric: Accuracy (%; 686 action recognition 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 March 2028. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)66.5#144
2GPT-5.457.3#123
3Qwen 3 VL 8B Instruct55.1#981
4Qwen 3 VL 4B Instruct53.4#1279
5Qwen 3 VL 8B (Thinking)53.4#887
6Qwen 3.5 Plus52.8#232
7Kimi K2.550.9#256
8GLM-4.1V-9B (Thinking)48.1#1060 (GLM-4.1V-9B)
9Seed 1.843.7#242
10Qwen 2.5 VL 7B Instruct43.3#1833
11InternVL3-14B42.7#1182
12Qwen 3 VL 30B A3B Instruct39.7#871
13Qwen 2 VL 7B Instruct38.6#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-action-recognition · How It Works · Data refreshed daily, snapshot 2026-11-13.