EXPLORE-Bench - Attribute Score: leaderboard

Metric: Attribute-level score (0-5): a Qwen3-8B scorer rates the predicted attributes of each matched object against the annotation, averaged over matched objects and all 1,157 instances; the model sees an initial egocentric scene image and a sequence of atomic actions (11 to 694) from real Ego4D, Ego-Exo4D and self-recorded videos and describes the final scene; greedy decoding; higher is better. Source: arxiv.org. Saturation forecast: Around 2033. 28 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 8B Instruct1.85#401
2Qwen 3 VL 8B (Thinking)1.84
3Gemini 3 Flash1.8#93
4Gemini 3 Pro1.77#77
5GPT-5.2 Instant1.7#205
6Step3 VL 10B1.69#465
7Qwen 2.5 VL 7B Instruct1.48#643
8Qwen 2 VL 7B Instruct1.3#816

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=explore-bench-attribute-score · How It Works · Data refreshed daily, snapshot 2026-10-11.