K9-Bench - Interaction Analysis: 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 interaction with people and other dogs. Models answer in free form and an answer counts as correct when its embedding is closest to the gold option.

Metric: MCQ accuracy (%; the Interaction Analysis 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 March 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro42.3#266
2Qwen 3 VL 235B A22B Instruct39.4#522
3Qwen 3 VL 32B Instruct35#585
4GPT-4o (2024-08-06)33.9#740
5Qwen 3 VL 32B (Thinking)32.1#559
6Qwen 3 VL 8B Instruct31.9#981
7Qwen 3 VL 4B Instruct30.9#1279
8Qwen 3 VL 8B (Thinking)29.3#887
9Qwen 3 VL 4B (Thinking)26.2#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-interaction-analysis · How It Works · Data refreshed daily, snapshot 2026-11-13.