You can get the new AI model now inside the Gemini app if you're on the AI Pro ($19.99 a month) or AI Ultra ($99.99 or $199.99 a month) plans. Users on the free and AI Plus ($4.99 a month) plans miss out for now, though you can expect a smaller, cut-down version of Gemini 4 Argon to roll out to these tiers eventually.
What can Gemini 4 Argon do?
Google says Gemini 4 Argon is now better at advanced physics modeling, picking through genetic databases, protecting software from vulnerabilities, and resolving problems in physical space (handy for robotics development). The new model "answers questions more directly with less hedging, doesn't repeat itself more than necessary, and skips clichés throughout the responses," according to Google.
Gemini has some suggestions for how to use the new model. Credit: LifehackerAll of these stats are things you would expect to read about in a new AI model announcement, whether it's from Google, Anthropic, or OpenAI: "Our new model is better and safer than ever, and particularly good in these specific benchmarks we've chosen." But is it any more helpful for the average user tapping away in the Gemini app?
Testing Gemini 4 Argon against GPT-6 Sol
Make no mistake: Both of these new AI models are quite capable. I first prompted Gemini 4 Argon and GPT-6 Sol with the following: "Using information online, create a web app I can run locally that plots the lighthouses of the world on a map. Clicking on a lighthouse should give me some details about it, show how far its light reaches, and display a simple 2D model showing its shape and height (if known). Put a lighthouse keeper in each model pop-up for scale."
The ChatGPT effort, dubbed "Beacon," wasn't bad, apart from a bit of map clunkiness (it clearly needs to work on its cartography skills). It presented plenty of information, laid out everything well, and gave me nice, neat diagrams on each of the lighthouses featured. The day/night mode worked fine, and it was an impressive bit of coding work, even if it did take 26 minutes.
However, the Gemini effort, called "Pharos," was better in almost every respect. The map was more detailed, lighthouses actually showed their light range (with an impressive animation), and there was more information on each location—perhaps due to Google's expertise in web search. Some of the layout choices were a bit off, but Gemini 4 Argon produced what was clearly the superior app in less than half the time.
ChatGPT's lighthouse map was pretty good—but had its problems. Credit: LifehackerThis time ChatGPT was faster—25 seconds versus Gemini's 55 seconds—and gave what I thought were the better summaries, at least for my purposes. Gemini did well, and its answers were accurate and to the point, but the summaries ChatGPT gave were easier to understand and shorter. ChatGPT also offered some overall thoughts on the most promising study, which Gemini didn't.
Finally, I checked the imagination and creative juices of the models: "With the success of the Apple TV shows Severance, Slow Horses, Silo, and Widow's Bay, give me five pitches for new show ideas on the platform that combine elements from some or all of these shows. Try and be as original as possible and keep each pitch to around 100 words." I put the "thinking" level back up to "high" for this job.
Gemini's lighthouse map offered more information and a better layout. Credit: LifehackerThe ideas were mostly "Widow's Bay set somewhere else" or "Slow Horses set somewhere else," and didn't make a whole lot of sense for the most part, but the best Gemini offering was about a Silo-style underground bunker whose operators go through a Severance-style procedure every 24 hours: outside, the bunker protecting it from zombies by night; inside, the bunker planning social activities for residents by day. It's not perfect, but I might watch the trailer at least.
This is only a narrow set of quick tests, but, in my view, it seems Gemini is back to, at the very least, an even playing field with ChatGPT. It performed much better on the lighthouse task, though its summarizing and TV show pitching weren't quite as impressive. Access to the best models requires a subscription on both platforms, but if you're able to, it's worth comparing them against each other on the jobs you most commonly need AI for.
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