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.

145152 of 214

model outputs

GPT-5.4

A 0.82T 0.25

Claude Sonnet 4.6

A 0.85T 0.30

LLaMA 4 Scout

A 0.72T 0.37

model outputs

no output

Qwen3-VL-8B-Instruct

A T

GPT-5.4

A 0.96T 0.17

Claude Sonnet 4.6

A 0.93T 0.16

LLaMA 4 Scout

A 0.68T 0.16

model outputs

no output

Qwen3-VL-8B-Instruct

A T

GPT-5.4

A 0.92T 0.24

Claude Sonnet 4.6

A 0.87T 0.22

LLaMA 4 Scout

A 0.65T 0.22

model outputs

GPT-5.4

A 0.93T 0.21

Claude Sonnet 4.6

A 0.76T 0.24

LLaMA 4 Scout

A 0.41T 0.00

model outputs

GPT-5.4

A 0.81T 0.22

Claude Sonnet 4.6

A 0.85T 0.25

LLaMA 4 Scout

A 0.54T 0.00

model outputs

GPT-5.4

A 0.84T 0.18

Claude Sonnet 4.6

A 0.88T 0.20

LLaMA 4 Scout

A 0.55T 0.14

model outputs

GPT-5.4

A 0.92T 0.20

Claude Sonnet 4.6

A 0.79T 0.15

LLaMA 4 Scout

A 0.44T 0.00

model outputs

GPT-5.4

A 0.91T 0.61

Claude Sonnet 4.6

A 0.94T 0.26

LLaMA 4 Scout

A 0.56T 0.00