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.

3340 of 214

ground truth

Only CSS: 3D Scan

model outputs

GPT-5.4

A 0.79T 0.18

Claude Sonnet 4.6

A 0.76T 0.32

LLaMA 4 Scout

A 0.53T 0.27

model outputs

GPT-5.4

A 0.50T 0.43

Claude Sonnet 4.6

A 0.49T 0.27

LLaMA 4 Scout

A 0.54T 0.43

model outputs

no output

Qwen3-VL-8B-Instruct

A T

GPT-5.4

A 0.84T 0.25

Claude Sonnet 4.6

A 0.84T 0.27

LLaMA 4 Scout

A 0.56T 0.17

model outputs

GPT-5.4

A 0.66T 0.63

Claude Sonnet 4.6

A 0.59T 0.33

LLaMA 4 Scout

A 0.51T 0.22

model outputs

no output

Qwen3-VL-8B-Instruct

A T

GPT-5.4

A 0.56T 0.30

Claude Sonnet 4.6

A 0.77T 0.31

LLaMA 4 Scout

A 0.52T 0.21

model outputs

GPT-5.4

A 0.95T 0.27

Claude Sonnet 4.6

A 0.92T 0.20

LLaMA 4 Scout

A 0.58T 0.25

model outputs

no output

Qwen3-VL-8B-Instruct

A T

GPT-5.4

A 0.85T 0.29

Claude Sonnet 4.6

A 0.66T 0.27

LLaMA 4 Scout

A 0.62T 0.27

model outputs

GPT-5.4

A 0.76T 0.38

Claude Sonnet 4.6

A 0.78T 0.29

LLaMA 4 Scout

A 0.71T 0.27