K9-Bench - Action Sequence: leaderboard

K9-Bench tests video understanding of domestic dogs: five-option questions about canine posture, action order, scene context, cause and effect, and interaction with people and other dogs, built from real-world web videos with an expert-grounded behaviour ontology. This board covers the questions about the order of actions over time. Models answer in free form and an answer counts as correct when its embedding is closest to the gold option.

Metric: MCQ accuracy (%; the Action Sequence category of K9-Bench, 4,744 five-option questions on 907 real-world dog videos; the free-form CoT answer counts as correct when its Qwen3-Embedding-8B similarity to the gold option exceeds 0.5 and no wrong option is closer; 32 uniformly sampled frames for GPT-4o and the open models, the full video at 1 FPS for Gemini 2.5 Pro and Qwen3-VL-235B-A22B). Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro36#266
2Qwen 3 VL 235B A22B Instruct33.5#522
3Qwen 3 VL 32B Instruct29.3#585
4Qwen 3 VL 32B (Thinking)28.8#559
5Qwen 3 VL 8B Instruct26.5#981
6GPT-4o (2024-08-06)26.3#740
7Qwen 3 VL 4B Instruct24.1#1279
8Qwen 3 VL 8B (Thinking)21.8#887
9Qwen 3 VL 4B (Thinking)18#1296

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=k9-bench-action-sequence · How It Works · Data refreshed daily, snapshot 2026-11-13.