EPIC-Bench - Placement Region: leaderboard

Metric: Manipulation score (0-100) on placement region (where an object can be placed, with a physical feasibility judgement), 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 2029. 89 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)55.25
2Gemini 3 Pro53.42
3Gemini 3 Flash (Preview)50.89
4GPT-5.5 (Non-reasoning)48.7
5Gemini 3 Flash (Preview) (Non-reasoning)48.09
6Qwen 3 VL 235B A22B (Thinking)46.49
7Claude Sonnet 4.6 (Thinking)43.81
8O343.64
9Gemini 2.5 Pro42.78
10Qwen 3.5 397B A17B42.51
11Qwen 3.5 Plus42.46
12Qwen 3.6 Plus41.59
13Seed 1.840.79
14Qwen 3 VL 30B A3B (Thinking)40.72
15Qwen 3 VL 32B (Thinking)40.03

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