Matt Wolfe tests Google's new Gemini 3.1 Flash-Lite model, a fast and cheap AI built for APIs and tools rather than chatting. He shows a YouTube thumbnail app that instantly describes images you drag in, highlighting how developers benefit from the speed and cost savings.
Gemini 3.1 Flashlight. This is designed to be a very fast, very efficient AI model. It's also meant to be cost efficient if you're using it in an API, if you're building tools with it. I actually built a little app for myself called my YouTube Thumbnail Swipe File, where whenever I find YouTube thumbnails that I think are really impressive that I want to remember for later, I drag and drop them into this little tool that I built, and then it looks at the image and describes what's in that thumbnail. And I actually use this Flashlight model for that because it's really fast. Like I drop the image in and almost instantly it gives me a description of that thumbnail. But also it's really cheap to use. If you're just using Gemini as like your everyday chatbot, you're probably not gonna notice huge differences. But where a lot of people are gonna notice a lot of these upgrades is gonna be more on the coding front and the API usage front. When you're building little apps like the one I described, this is great for that kind of thing.
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