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Video Generation Evaluation on VBench

86.3384Quality ScorePRISM
80.85208882.27641983.7007585.125081Jun 18, 2026

Evaluation results

MethodLinks
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-14B), Settings=Step 252026.0686.338476.679284.40651.0965
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-14B), Settings=Step 52026.0686.161776.109384.15120.8412
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-14B), Settings=Step 102026.0686.088975.948984.06090.7509
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-14B), Settings=Step 502026.0686.078676.951584.25320.9432
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-1.3B), Settings=Step 252026.0686.078376.17884.09830.7883
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-1.3B), Settings=Step 502026.0686.058976.551384.15740.8474
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-14B), Settings=Step 12026.0685.982276.492684.08430.7743
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-1.3B), Settings=Step 52026.0685.921176.580184.05290.7429
VideoScore2Infer Model=Wan2.1-1.3B, RM=VideoScore2, Settings=-2026.0685.919875.74583.88490.5749
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-1.3B), Settings=Step 102026.0685.86276.018283.89320.5832
PRISMInfer Model=Wan2.1-1.3B, RM=PRISM (Wan2.1-1.3B), Settings=Step 12026.0685.625776.770183.85460.5446
RandomInfer Model=Wan2.1-1.3B, RM=Random, Settings=-2026.0685.573676.058683.67060.3606
VideoRewardInfer Model=Wan2.1-1.3B, RM=VideoReward, Settings=-2026.0685.313876.904183.63180.3218
UnifiedRewardInfer Model=Wan2.1-1.3B, RM=UnifiedReward, Settings=-2026.0685.275476.33783.48780.1778
Wan2.1-1.3BInfer Model=Wan2.1-1.3B, RM=-, Settings=-2026.0685.2375.6583.31—
PRISMInfer Model=CogVideoX, RM=PRISM (CogVideoX-2B), Settings=Step 102026.0682.008777.756181.15820.8889
PRISMInfer Model=CogVideoX, RM=PRISM (CogVideoX-2B), Settings=Step 252026.0681.741477.58480.90990.6406
UnifiedRewardInfer Model=CogVideoX, RM=UnifiedReward, Settings=-2026.0681.694777.473380.85040.5811
VideoRewardInfer Model=CogVideoX, RM=VideoReward, Settings=-2026.0681.680378.709781.08620.8169
PRISMInfer Model=CogVideoX, RM=PRISM (CogVideoX-2B), Settings=Step 52026.0681.635177.733780.85490.5856
PRISMInfer Model=CogVideoX, RM=PRISM (CogVideoX-2B), Settings=Step 502026.0681.541177.772180.78730.518
RandomInfer Model=CogVideoX, RM=Random, Settings=-2026.0681.380877.238180.55220.2829
PRISMInfer Model=CogVideoX, RM=PRISM (CogVideoX-2B), Settings=Step 12026.0681.301977.407680.5230.2537
VideoScore2Infer Model=CogVideoX, RM=VideoScore2, Settings=-2026.0681.215978.181580.6090.3397
CogVideoXInfer Model=CogVideoX, RM=-, Settings=-2026.0681.063177.093780.2693—