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Multi-image understanding on QBench2

81.7AccuracyDelimScaling
36.87648.51360.1571.787Feb 2, 2026Feb 7, 2026Feb 13, 2026Feb 18, 2026Feb 24, 2026Mar 1, 2026Mar 7, 2026

Evaluation results

MethodLinks
DelimScalingBackbone=Qwen2.5-VL, Model Size=32B2026.0281.7
Qwen2.5-VLModel Size=32B, Method Variant=Baseline2026.0281.4
DelimScalingBackbone=InternVL3, Model Size=14B2026.0280.1
InternVL3Model Size=14B, Method Variant=Baseline2026.0279.6
Qwen2VLParams=7B2026.0376.8
DelimScalingBackbone=InternVL3, Model Size=8B2026.0276.6
DelimScalingBackbone=Qwen2.5-VL, Model Size=7B2026.0276.5
InternVL3Model Size=8B, Method Variant=Baseline2026.0276.5
Qwen2.5-VLModel Size=7B, Method Variant=Baseline2026.0275.8
InternVL2.5Params=8B2026.0375.5
InternVL2.5 + CAPLParams=8B2026.0375.3
GLM4.1VBaseParams=9B2026.0374.4
DelimScalingBackbone=LLaVA-OV, Model Size=7B2026.0274.2
LLaVA-OVModel Size=7B, Method Variant=Baseline2026.0273.9
GLM4.1VBase + CAPLParams=9B2026.0373.6
Qwen2.5-VL + CAPLParams=7B2026.0372.4
Qwen2.5-VLParams=7B2026.0371.1
LLaVA-OVParams=7B2026.0370.1
InternVL2Params=7B2026.0369.8
DelimScalingBackbone=InternVL3, Model Size=2B2026.0265.6
InternVL3Model Size=2B, Method Variant=Baseline2026.0265.2
Idefics3Params=8B2026.0364.2
DelimScalingBackbone=Qwen2.5-VL, Model Size=3B2026.0263.3
Qwen2.5-VLModel Size=3B, Method Variant=Baseline2026.0262.7
DelimScalingBackbone=LLaVA-OV, Model Size=0.5B2026.0251.9
LLaVA-OVModel Size=0.5B, Method Variant=Baseline2026.0251.7
InternVL3Model Size=1B, Method Variant=Baseline2026.0250.8
DelimScalingBackbone=InternVL3, Model Size=1B2026.0250.2
LLaVA-NextParams=7B2026.0339.5
Idefics2Params=8B2026.0338.6