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Video Spatial Reasoning on VSI-Bench

79.2Average ScoreHuman Level
24.39238.62152.8567.079May 31, 2025Aug 3, 2025Oct 7, 2025Dec 10, 2025Feb 13, 2026Apr 18, 2026Jun 22, 2026

Evaluation results

MethodLinks
Human LevelSize=–2026.0379.284.34760.445.994.795.895.8100
SpaceMind++Model Category=Specialized Spatial Reasoning Models2026.0573.274.562.477.976.973.589.748.284.1
LongSpace-9BParameter Scale=9B2026.0670.873.857.677.474.472.484.347.478.8
SpaceMindModel Category=Specialized Spatial Reasoning Models2026.0570.273.961.577.674.867.788.646.970.7
SenseNova-SI-1.2Model Category=Specialized Spatial Reasoning Models2026.0569.672.75677.175.770.481.742.879.9
Cambrian-S-7BModel Category=Spatial-Centric, Parameter Scale=7B2026.0662.968.245.872.567.666.869.639.273.8
VLM-3RModel Category=Specialized Spatial Reasoning Models2026.0560.970.249.469.267.165.480.545.440.1
VLM-3R-7BModel Category=Spatial-Centric, Parameter Scale=7B2026.0660.970.249.469.267.165.480.545.440.1
VST-7BModel Category=Specialized Spatial Reasoning Models2026.0560.67244.474.368.359.755.844.965.2
VST-7B-SFTModel Category=Spatial-Centric, Parameter Scale=7B, Training=SFT2026.0660.67244.474.368.359.755.844.965.2
Thinking with Spatial Code + 2D boxSize=4B2026.036095.260.750.833.16287.132.559
Qwen3VL-8B-InstructModel Category=Open-source VLMs2026.0557.967.54776.361.95850.93566.3
Qwen3-VL-8BModel Category=Open-Source, Parameter Scale=8B2026.0657.967.54776.361.95850.93566.3
VST-3B-SFTModel Category=Spatial-Centric, Parameter Scale=3B, Training=SFT2026.0657.969.345.471.862.4594638.770.2
Cambrian-S-3BModel Category=Spatial-Centric, Parameter Scale=3B2026.0657.370.740.66846.364.861.927.378.8
Thinking with Spatial CodeSize=4B2026.035758.3397352.457.855.938.763.9
Thinking with Spatial Code (w/o RL) + 2D boxSize=4B2026.0356.595.25050.919.963.755.525.358.4
Gemini-3 ProModel Category=Proprietary Models (API)2026.05564942.871.541.856.657.561.960
Gemini-3-ProModel Category=Proprietary2026.06564942.871.541.856.657.561.960
GPT-5Size=–2026.035553.334.473.347.563.748.650.268.9
Qwen3-VLSize=8B2026.035552.144.760.443.156.656.338.170.2
GPT-5Model Category=Proprietary Models (API)2026.055553.334.473.347.563.748.650.268.9
GPT-5Model Category=Proprietary2026.065553.334.473.347.563.748.650.268.9
Thinking with Spatial Code (w/o RL)Size=4B2026.0354.658.33771.252.454.250.235.663.9
Qwen3-VL + 2D boxSize=4B2026.0354.566.642.357.840.856.952.737.666.9
Gemini-2.5-ProModel Category=Proprietary2026.0653.64637.468.754.46243.947.468.8
Gemini-2.5-ProSize=–2026.0353.54637.368.754.361.943.947.468.7
Qwen3-VLSize=4B2026.0352.853.146.363.44853.349.937.158.9
CoF-InternVL3-8BParameters=8B, Training=LoRA-based fine-tuning on COF-DATA2025.0551.3————————
VG-LLM-8BModel Category=Spatial-Centric, Parameter Scale=8B2026.0650.767.937.758.66246.640.732.459.2
Seed-1.6Size=230B2026.0349.943.534.366.152.85535.744.367.9
Gemini-1.5 ProSize=–2026.0348.849.630.964.149.451.348.14268
Gemini-1.5-ProAccess=Closed-source2025.0548.8————————
InternVL3-78BModel Category=Open-source VLMs2026.0548.571.253.744.439.555.939.528.954.5
Spatial-MLLMModel Category=Specialized Spatial Reasoning Models2026.0548.465.334.863.145.141.346.233.546.3
InternVL3-78BModel Category=Open-Source, Parameter Scale=78B2026.0648.471.253.744.439.555.939.528.954.5
Spatial-MLLM-4BModel Category=Spatial-Centric, Parameter Scale=4B2026.0648.465.334.863.145.141.346.233.546.3
Grok-4Model Category=Proprietary Models (API)2026.0547.937.132.960.845.453.139.647.466.8
VG-LLM-4BModel Category=Spatial-Centric, Parameter Scale=4B2026.0647.36637.855.259.244.645.633.536.4
Spatial-MLLMSize=4B2026.0346.366.63863.635.440.448.232.944.3
SpatialLadderSize=3B2026.0344.862.135.361.941.445.646.427.338.5
SpatialLadder-3BModel Category=Spatial-Centric, Parameter Scale=3B2026.0644.862.135.361.941.445.646.427.338.5
InternVL3-8BModel Category=Open-Source, Parameter Scale=8B2026.0642.168.13948.433.648.336.427.335.4
SpaceRSize=7B2026.0341.544.524.753.537.341.946.129.354.8
InternVL3-8BAccess=Open-source, Parameters=8B2025.0541————————
LLaVA-VideoSize=72B2026.0340.948.922.857.435.342.436.73548.6
LLaVA-NeXT-Video-72BModel Category=Open-source VLMs2026.0540.948.922.857.435.342.436.73548.6
LLaVA-NeXT-Video-72BModel Category=Open-Source, Parameter Scale=72B2026.0640.948.922.857.435.342.436.73548.6
LLaVA-OneVision-72BAccess=Open-source, Parameters=72B2025.0540.2————————
LLaVA-OneVisionSize=72B2026.0340.243.523.957.637.542.539.932.544.6
LLaVA-OneVision-72BModel Category=Open-source VLMs2026.0540.243.523.957.637.542.539.932.544.6
LLaVA-OneVision-72BModel Category=Open-Source, Parameter Scale=72B2026.0640.243.523.957.637.542.539.932.544.6
Qwen2-VL-72BAccess=Open-source, Parameters=72B2025.0537.6————————
DR-MV3DBackbone=Qwen2.5-VL-3B-Instruct, Training protocol=SFT + GRPO2026.0637.1————37.846.632.431.4
Qwen2.5-VL-72BModel Category=Open-Source, Parameter Scale=72B2026.063725.129.354.538.838.2373428.9
CoF-InternVL2.5-4BParameters=4B, Training=Fine-tuned on COF-DATA2025.0536.9————————
InternVL2Parameter scale=8B2026.0636.7————3833.428.946.4
LLaVA-NeXT-Video-7BAccess=Open-source, Parameters=7B2025.0535.6————————
LLaVA-VideoSize=7B2026.0335.648.51447.824.243.542.43430.6
DR-MV3DBackbone=Qwen2.5-VL-3B-Instruct, Training protocol=SFT2026.0634.2————35.143.930.926.9
GPT-4oSize=–2026.033446.25.343.838.23741.331.528.5
GPT-4oAccess=Closed-source2025.0534————————
InternVL2.5-4BAccess=Open-source, Parameters=4B2025.0533.5————————
LLaVA-OneVisionParameter scale=7B2026.0632.9————42.535.229.424.4
LLaVA-OneVision-7BAccess=Open-source, Parameters=7B2025.0532.4————————
LLaVA-OneVisionSize=7B2026.0332.447.720.247.412.342.535.229.424.4
Qwen2.5-VLSize=7B2026.0332.332.818.143.831.73837.428.327.9
VILA-1.5-40BModel Category=Open-Source, Parameter Scale=40B2026.0631.222.424.848.722.740.525.731.532.9
Qwen2-VL-7BAccess=Open-source, Parameters=7B2025.0531————————
VILA-1.5Parameter scale=8B2026.0630.7————32.134.83124.8
Qwen2.5-VL-3B-InstructParameter scale=3B, Training protocol=Instruct2026.0630.4————25.943.827.324.4
LongVA-7BModel Category=Open-Source, Parameter Scale=7B2026.0629.23816.638.922.233.143.325.415.7
VILA-1.5-8BModel Category=Open-Source, Parameter Scale=8B2026.0628.917.421.850.318.832.134.83124.8
InternVL2Parameter scale=2B2026.0628.2————32.144.130.46.3
LLaVA-OneVisionParameter scale=0.5B2026.0626.5————28.936.934.55.8