EPIC-Bench - Affordance Region: leaderboard

Metric: Manipulation score (0-100) on affordance region localization (the operable part of an object for a described task), on EPIC-Bench (6,661 human-annotated image, text and mask tuples from 25 public datasets across 23 fine-grained embodied perception tasks; the model outputs bounding boxes, counts, path points or feasibility judgements that are scored against the masks), zero-shot, averaged over six runs for local models and two for API models; higher is better. Source: arxiv.org. Saturation forecast: Around November 2027. 89 models tracked.

Top models

#ModelScore
1Gemini 3 Pro30.4
2Gemini 3.1 Pro (Preview)28.89
3GPT-5.5 (Non-reasoning)24.62
4Gemini 3 Flash (Preview)22.62
5Qwen 3 VL 235B A22B (Thinking)16.96
6Qwen 2.5 VL 72B Instruct14.77
7Qwen 3.5 Plus13.82
8Qwen 3.5 27B13.15
9Qwen 3.5 397B A17B12.4
10Qwen 3.5 122B A10B12.31
11Qwen 3 VL 235B A22B Instruct12
12Qwen 3.6 Plus11.95
13Qwen 3.5 27B (Non-reasoning)11.93
14Gemini 3 Flash (Preview) (Non-reasoning)11.91
15Seed 1.810.94

Interactive version: theaggregate.ai/benchmark?slug=epic-bench-affordance-region · How It Works · Data refreshed daily, snapshot 2026-10-07.