Goosefeathers

2026-10-17

Is Google back? Gemini 4 Argon vs six other models, building squishy gummy bears

Same prompt, two Google models. Gemini 3.1 Pro built black blobs mashed together and got a 1 out of 10. Gemini 4 Argon built see-through bears that wobble, and got an 8. So I put Argon up against the best models from Anthropic, OpenAI and xAI.

Two gummy bear demos from the same prompt. Gemini 3.1 Pro's are dark, shiny blobs. Gemini 4 Argon's are colorful, see-through bears on a white table.

The test

One prompt, word for word, from a Reddit post: a single three.js HTML file with gummy bears on a white table. They should look like real candy and feel like jelly, not plastic. You grab and stretch them, press them flat, throw them, and pour in a whole handful.

Every model got an empty folder, its highest setting, and nobody answering its questions. Claude ran in Claude Code, OpenAI's models in Codex, Grok in Cursor and both Gemini models in Gemini CLI. I played every build and scored it myself.

The scores

Model Score Time Cost
Claude Opus 5.5 9.7 49 min $13.48
GPT-6 Astra 9 17 min about $4.69
Claude Fable 5.1 8.5 89 min $40.07
Gemini 4 Argon 8 51 min about $3.97
GPT-6.1 Sol 6.5 31 min about $1.68
Grok 4.7 3.5 about 69 min, then it hung none
Gemini 3.1 Pro 1 3 min about $0.45

The two OpenAI costs are API-equivalent. Those runs went through my ChatGPT plan. Grok has no cost because Cursor doesn't report tokens.

What stood out

Argon finishes fourth of seven. Astra is the one that should worry Google: it scored a point higher, in about a third of the time, for roughly 70 cents more.

Gemini 3.1 Pro was faster and cheaper than Argon, but only because it barely tried. It made three tool calls and never opened the page. Argon made 111 and kept checking its own work.

Build by build:

Price and access

Argon costs $2 per million input tokens and $10 per million output tokens. That's launch pricing, and Google says it doubles on December 1.

Getting it to run was harder than it should be. Antigravity needs the Ultra plan, and Cursor and OpenRouter both cut the connection while Argon was thinking. Gemini CLI with a paid API key worked.

So is Google back?

This is one prompt and one run each, so don't read too much into the small gaps, and I'll need to test Argon more on everyday coding. But it's a huge step up from Gemini 3.1 Pro, and for the price, I like it.

You can play every build and read the exact prompt on the gummy bears page in the Lab. Turn on "Play blind" if you want to pick a favorite before you see the names. Kimi K3.1 Pro has joined the page since this test, with a score of 5.