That's possibly the worst pelican I saw from all recent LLMs.

Meanwhile GLM 5.2 drew a cool self-contained fully animated SVG pelican:

https://simonwillison.net/2026/Jun/17/glm-52

Yeah, GLM have been beating Anthropic on the pelicans for a while now.

(I suspect that's more of an indication that Anthropic have chosen not to waste resources training on animals riding vehicles, personally.)

This is interesting, I haven’t actually heard you suggest that the labs are focusing on this benchmark before. Have you come around to this position as a result of the quality of pelicans you’ve been getting?

The reason I thought this was an interesting benchmark is because it’s a non-image generating model creating an image using SVG code, so it kinda spans capabilities.

If an AI lab trained a model specifically for animals riding bicycles it seem trivial to modify the prompt and determine if it was trained specifically for that or if it’s generalized a skill and can also generate a proper orangutan walking on stilts or an armadillo on a skateboard, this sort of thing?

That's what I've been doing - trying different animals in different vehicles. I'd love to find a lab who does a good pelican on a bicycle but sucks at other combinations, but sadly that's not happened yet.

Google Gemini have openly boasted about their animals on vehicles results! https://x.com/JeffDean/status/2024525132266688757

Just need the legs to interact with the pedals now :D

That's something that Sonnet 5 couldn't get right even on a static SVG.

Mine is to ask it to write a parallel parking simulator and animation. The math there is surprisingly complex including differential equations. Fable 5 can almost one shot it with all tunable params.