That’s because, underneath Apple’s new UI and Private Cloud Compute, the company trained its new Siri AI on Gemini models, and sends some processes to Google servers—though the company is adamant the same privacy policies apply. I already went hands-on with the new Clean Up tool powered by Gemini and came out surprisingly impressed (though Reframe clearly needs some work). In this article, I want to compare Siri AI with Gemini, the AI system it owes much of its existence to. While Apple has managed to cram useful AI features into quite possibly every native app, this comparison is focused on Siri AI and the Gemini app on iPhone. While Apple has pushed Siri to new heights here, Google's AI, in my view, still has the edge overall.
Siri AI’s integration advantage
There’s a slick new Siri animation, after which the bubble expands to show you the answer. This can be a simple, short text response, or data from supported apps. This feature is currently limited to Apple’s apps, but after the public release, it will support third-party apps as well. Gemini, of course, doesn’t have all these features, at least not on iOS. The fastest way to access Gemini is through the Home Screen widget, or by assigning a shortcut to the Action button.
Credit: Khamosh PathakIn the Gemini app, you can choose between three models: Flash, Flash-Lite, and Pro. The Pro model uses reasoning and therefore takes longer to respond. Siri AI offers no such options. You ask Siri AI something, and all you get is a “working on it” status message. And then relatively quickly you get an answer.
The new Siri returns with one-paragraph answers most of the time, and, importantly, includes the actual answer. You are free to swipe down from the floating window to expand the answer, and to open the Siri AI app itself. I find that Siri usually has more context and options here. Just like Gemini, Siri also cites its sources. In fact, Siri lists all its sources at the bottom of the message, while Gemini links to sources in the text and sometimes doesn't provide sources at all.
Gemini is still better at research
Siri AI isn’t designed for in-depth research, at least not in its current form. Gemini’s Pro models, on the other hand, excel at things like finding and collating information and guides based on Google searches. For example, I asked both Siri and Gemini to help me find a laptop for my wife’s dental practice.
Credit: Khamosh PathakBoth did a good job of outlining the must-haves: a powerful processor like the AMD Ryzen 7, at least RTX 4050 graphics to run the GPU-intensive dental scanning programs, and 16GB RAM. But when I asked Siri to find me suitable options, it just did the bare minimum. It suggested some popular global options, but they weren’t tailored to India. Gemini, on the other hand, showed options that were available in India, with their pricing and links.
Credit: Khamosh PathakSimilarly, I asked Siri and Gemini both to give me some hamstring stretches to perform after a workout. Siri just came back with some web images. After further prodding, it gave me a couple of stretches to try. Gemini Flash gave me a detailed breakdown, along with example images, right from the get-go.
Gemini is still the best overall package compared to Siri AI
Credit: Khamosh PathakThat’s where Apple's bot really shines: use Siri AI to securely pull data from Apple apps; use it to ask for information about current events; use it to ask pointed questions about the world (or things you would usually use Google search for). For all the above, Siri AI returns accurate responses most of the time—but that’s where Siri AI’s prowess ends. If you want to do detailed shopping comparisons, research a topic, or create visualizations, you’ll still need to use the Gemini app. Of course, Siri AI is still in beta testing, so things could change. But Apple doesn't yet have plans to add some of these Gemini features to its own bot, so, on the front, Gemini still has the advantage.
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