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Multi-image Spatial Reasoning on MMSI-Bench

38Overall AccuracyGemini-2.5-Pro
19.38424.21729.0533.883Jan 12, 2026Jan 16, 2026Jan 20, 2026Jan 24, 2026Jan 28, 2026Feb 1, 2026Feb 5, 2026

Evaluation results

MethodLinks
Gemini-2.5-ProData Scale=-, Training Phases=-2026.0138————
SmoothOp-7BData Scale=50K, Training Phases=1 (R)2026.0133.7————
SmoothOp-3BData Scale=50K, Training Phases=1 (R)2026.0132.2————
VST-7B-SFTData Scale=4.1M, Training Phases=1 (S)2026.0132————
LLava-OneVision-7BData Scale=-, Training Phases=-2026.0131————
GPT-4oData Scale=-, Training Phases=-2026.0130.3————
ViLaSR-7BData Scale=81K, Training Phases=2 (S+R)2026.0130.2————
VST-3B-SFTData Scale=4.1M, Training Phases=1 (S)2026.0130.2————
CAMCUEBackbone=Qwen2.5-VL-7B, Evaluation Mode=Pose-Only (without imagined image feedback)2026.0228.829.929.227.326.8
Qwen2.5-VL-3BData Scale=-, Training Phases=-2026.0128.6————
InternVL3-8BData Scale=-, Training Phases=-2026.0128————
Qwen2.5-VL-7BData Scale=-, Training Phases=-2026.0126.8————
SpatialLadder-3BData Scale=26K, Training Phases=3 (S+R)2026.0126.1————
Qwen2.5-VL-7BBackbone=Qwen2.5-VL-7B, Evaluation Mode=Base (backbone-only)2026.0225.925.921.53025.8
SpaceR-7BData Scale=151K, Training Phases=2 (S+R)2026.0120.1————