Figma Make adds Google's Gemini 4 Argon to its model picker, on every plan

Google made Gemini 4 Argon, its new top model, broadly available on October 13, and Figma added it to Figma Make the same day. If you prototype in Make, it’s now one more option in the model picker, and you don’t need a Google subscription to try it.

What changed

A new option in the model picker. Figma’s release note says Gemini 4 Argon is rolling out in Figma Make on all plans. You choose it from the model name in the Make chat box. It joins the other non-default models Figma lists in its help center, which currently include models from OpenAI, Anthropic, and Google.

You can switch per prompt, and Make remembers per file. Figma’s help article says you can change models at any point in a conversation. New Make files always start on the default model, while an existing file reopens with whatever model you last picked for it.

What Google says Argon is for. Google pitches the model at long, multi-step work, especially coding. For anyone building prototypes, the most relevant line in Google’s announcement is about improved spatial reasoning and “visual coding,” with examples like interactive animations and 3D scenes built in plain browser code. Google doesn’t make claims about interface design. Its one design example is physical product design: generating new leg designs for a sofa and turning one into a 3D-printable file.

It’s easier to get here than in Google’s own app. In the Gemini app, Argon is limited to Google AI Pro and Ultra subscribers, according to Google and 9to5Google. Figma Make lists it for all of its plans.

Why it matters for designers

Model choice in Make has quietly become a real lever. Different models read the same prompt differently, especially for motion, layout, and anything spatial. If a prototype keeps coming back wrong on the default model, trying another one is now a normal part of the workflow, and Argon is a new option to compare against, particularly for interactive or animated ideas where Google says it’s improved.

It’s also a cheap way to see what Google’s newest model can do with design context without paying for a separate subscription, as long as your plan’s AI credits cover it.

What to watch out for

Credits are the big unknown. Figma’s own help article says credit use for non-default models is “still in development and may vary significantly,” and that some models use substantially more credits per task. There’s no published rate for Argon, so try it on a small, well-defined prompt first and check your credit history before you lean on it for a whole project.

Figma also notes that non-default models can behave differently from the default, including unexpected errors, more self-healing, or longer reasoning and generation times. A bigger model isn’t automatically a better fit for a quick layout tweak.

And it’s described as “rolling out,” on Figma’s side and Google’s. If you don’t see it in the picker yet, it may simply not have reached your account. Your team or organization also needs AI turned on to use Figma Make at all. We haven’t tested Argon in Make ourselves, so everything here comes from Figma’s and Google’s own descriptions.