Spatial-SSRL-Qwen3VL-4B: benchmark results

Provider: Shanghai AI Lab. Released 2025-11-24. Access: Open.

Aggregate Rating 1634 ± 45, rank #732 of 10916 rated models, from 29 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MJev-Spatial - RoboSpatial Pointing61.48Any-first-two point mask success (%)100
Spatial-SSRL4B Release - General VQA70.28Average score (%)100
Spatial-SSRL4B Release - Spatial understanding61.43Average score (%)100
SpatialQuery-1M - Closest-Instance Distance42Acc@0.2m (%; share of 5,000 fixed closest-instance distance 100
SpatialQuery-1M - Proximity Decision76.04Accuracy (%; binary decision whether the closest same-catego100
AeroGround - Reverse Sequence Reasoning43.8Accuracy (%; Spatial Reasoning: find the ground frame that d86.7
MJev-Spatial - EmbSpatial78.1Accuracy (%)71.4
MJev-Spatial - Overall60.08Twelve-benchmark arithmetic mean (%)71.4
MJev-Spatial - Where2Place66.54Mean grayscale mask score (%)71.4
AeroGround - Multi-Target Relation60.6Accuracy (%; Spatial Understanding: order comparison targets66.7
AeroGround - Relative Orientation Determination28.9Accuracy (%; Spatial Understanding: select the egocentric qu63.3
AeroGround - Single-Target Matching35.4Accuracy (%; Object Alignment: select the candidate in the o60

Interactive version: theaggregate.ai/model?slug=spatial-ssrl-qwen3vl-4b · How It Works · Data refreshed daily, snapshot 2026-11-08.