DeepEyes: benchmark results

Provider: Other.

Aggregate Rating 1573 ± 24, rank #1362 of 10916 rated models, from 62 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
DiCoBench - Instance Commonality75.5Accuracy (%) on the instance-commonality task (re-identify o94.1
DiCoBench - Entity Difference55.8Accuracy (%) on the entity-difference task (a small object a85.3
VTC-Bench (Interface Tools) - Measurement43.81Pass rate (%) on measurement (105 questions on size, positio83.3
DiCoBench - Reasoning Difference26.7Accuracy (%) on the reasoning-difference task (traces that i79.4
DiCoBench - Category Commonality60.9Accuracy (%) on the category-commonality task (match objects70.6
VTC-Bench (Code Tools) - Perceptual Restoration28Pass rate (%) on perceptual restoration (50 questions under 63.9
360Bench (CMP) - Fine-Grained Perception39Fine-grained perception accuracy (%), mean of instance recog62.5
VTC-Bench (Interface Tools) - Spatial Reasoning46.67Pass rate (%) on spatial reasoning under extreme conditions 58.3
DiCoBench - Attribute Difference31.8Accuracy (%) on the attribute-difference task (a subtle chan55.9
DiCoBench - Spatial Commonality29.6Accuracy (%) on the spatial-commonality task (locate the sha53.1
360Bench (CMP)35.5Overall accuracy (%) over all seven subtasks on 360Bench's 150
360Bench (ERP) - Fine-Grained Perception39.3Fine-grained perception accuracy (%), mean of instance recog50

Interactive version: theaggregate.ai/model?slug=deepeyes · How It Works · Data refreshed daily, snapshot 2026-11-08.