animation2code benchmark
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Zero-shot video (or image-frame) → code results on the test set, across commercial and open-source models.

Each output is tagged with A = appearance similarity and T = temporal similarity; higher is better for both. Click a video to inspect its code.

153160 of 214

model outputs

GPT-5.4

A 0.89T 0.23

Claude Sonnet 4.6

A 0.88T 0.33

LLaMA 4 Scout

A 0.82T 0.13

model outputs

GPT-5.4

A 0.95T 0.27

Claude Sonnet 4.6

A 0.79T 0.28

LLaMA 4 Scout

A 0.89T 0.20

model outputs

GPT-5.4

A 0.87T 0.34

Claude Sonnet 4.6

A 0.85T 0.30

LLaMA 4 Scout

A 0.45T 0.00

model outputs

GPT-5.4

A 0.92T 0.29

Claude Sonnet 4.6

A 0.91T 0.22

LLaMA 4 Scout

A 0.57T 0.10

model outputs

GPT-5.4

A 0.76T 0.18

Claude Sonnet 4.6

A 0.89T 0.31

LLaMA 4 Scout

A 0.53T 0.30

ground truth

Loaders (WIP)

model outputs

GPT-5.4

A 0.92T 0.30

Claude Sonnet 4.6

A 0.90T 0.27

LLaMA 4 Scout

A 0.79T 0.22

ground truth

Loaders (WIP)

model outputs

GPT-5.4

A 0.69T 0.39

Claude Sonnet 4.6

A 0.70T 0.34

LLaMA 4 Scout

A 0.73T 0.24

ground truth

Loaders (WIP)

model outputs

GPT-5.4

A 0.93T 0.21

Claude Sonnet 4.6

A 0.92T 0.24

LLaMA 4 Scout

A 0.74T 0.26