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DeepSeek V3.2 vs Kimi K2.5: Flower Animation on CanopyWave

DeepSeek V3.2 vs Kimi K2.5: Flower Animation on CanopyWave

Both models produce beautiful flowers. Only one actually loops.

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Two reasoning-focused models, same prompt. The interesting question isn’t which flower looks better — it’s which model actually read the prompt carefully enough to build a loop.


Prompt

“Create a gorgeous flower growing from brown dirt, as an animated loop using only HTML and CSS.”

Pure HTML/CSS · No JavaScript · Single file

DeepSeek V3.2 CanopyWave
Tokens
1,991
Lines of Code
245
Kimi K2.5 CanopyWave
Tokens
3,268
Lines of Code
208

Model A

DeepSeek V3.2

CanopyWave

vs

Model B

Kimi K2.5

CanopyWave

1,991
Tokens
3,268
245
Lines of Code
208

Green highlights the leading metric per row. Fewer tokens = more efficient. More lines = more detail.


Did they loop?

Kimi K2.5 — Yes. All animations share an 8-second infinite cycle using percentage-based keyframes. Stem at 0-30%, leaves at 30-50%, bloom at 50-80%, fade at 90-100%, repeat. This is architecturally the correct way to build a CSS animation loop.

DeepSeek V3.2 — No. The stem, leaves, and bloom use forwards — they play once and hold. Sparkle particles loop, and there’s a stem wiggle on infinite, but the core growth sequence never restarts. It’s a one-shot with decorative looping on top.

Prompt checklist

RequirementDeepSeek V3.2Kimi K2.5
FlowerYes — 8 petalsYes — 8 petals, alternating colors
Brown dirtYesYes — with particle texture
Growing animationYesYes
LoopNo — one-shot growthYes — full infinite cycle
CSS onlyYesYes

Verdict

Kimi follows the prompt. DeepSeek builds a polished scene but treats “animated loop” as optional. If prompt adherence matters — and it should — Kimi wins.


Part of our Model Animation Benchmark series on CanopyWave. Subscribe for new comparisons.

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