Can everyone use local AI? We tested it on a budget phone, and the results were disappointing. In April this year, Google released the new-generation open-source large model, Gemma 4. This time, it launched four versions at once, covering everything from mobile phones to workstations. The two smallest versions are specifically designed for mobile devices and are mainly for fully offline operation. This isn't really that rare, but more importantly, Google now wants mobile phones to run local models. You may have come across a lot of content about the actual installation and testing of Gemma 4. However, most of the existing online tests are conducted on the latest iPhones or flagship phones. These flagships are the latest models, with top-notch performance and computing power, so it's reasonable that they perform well. At this point, Xiaolei can't help but ask, If you use an ordinary Android phone that costs a few hundred to over a thousand yuan, with a mid-range processor and not top-notch computing power, can the local model still be used normally? How big is the gap compared to those flagship phones? (Image source: Photographed by Lei Technology) Digging deeper, is local AI destined to be an exclusive feature of flagship phones? We want to figure this out, so we directly took a thousand-yuan Android phone with a mid-range chip to test Gemma 4 and see how it performs. A thousand-yuan phone running a local model is a complete "disaster" The phone we used for this test is the vivo Y500 Pro, a typical thousand-yuan Android phone. Although it's not an old model, the overall performance of its SoC is still average. After all, its price is set like this, and there's really not much to say. It uses the MediaTek Dimensity 7400, manufactured by TSMC using a