Google AI Pro cost me $20 a month, but Gemma 4 does the same job for free

Published Aug 18, 2026, 7:00 PM EDT Abhinav pivoted from a career in banking to pursue his first love in writing. Even while working full-time, he continued contributing as an editor-at-large, a role he has held for more than 7 years. A lifelong tech enthusiast who has built three gaming and productivity powerhouse PCs since 2018, his passion for technology keeps him closely following the semiconductor industry, from NVIDIA and AMD to ARM. His MSc dissertation explored how artificial intelligence will reshape the future of work, reflecting his curiosity about the wider social impact of emerging technologies. There are many things Gemma 4 can do. It can write you a sonnet, help you with your homework, organize your messy notes, make sense of your Excel spreadsheets, and when used right, it can save you $20 on a subscription you probably weren't getting enough value for. I've experienced mostly all of its capabilities from my own use, first-hand. There's very little it asks of you as a user, too. Even if you have a laptop with 16GB of RAM and 8GB of VRAM, chances are, there are quantized variants of it which can do almost everything its bigger siblings can, give you no room for complaints, and leave your checking account a little more abundant. Here's why I prefer running Gemma 4 locally rather than paying Google $20 a month. I realized I was overpaying for Gemini And you might be overpaying too, based on what you do with it After over 6 months of being billed for Google AI Pro, I realized I couldn't even reliably list the features I had been getting from the subscription. In its current state, with a $20 subscription, you get Gemini 3.1 Pro with an expanded context window, expanded access to Deep Research, and Gemini's assistance across Gmail, Google Docs and Google Drive. I realize that I'm at a risk of being framed as a Luddite tech analyst, but I'll state plainly that I have not come to trust AI tools with access to my email inbox, so that's about a third of the capabilities that I'm offered with a Pro subscription that I'm flat out unwilling to use. Perhaps that makes me the wrong customer for the service altogether, but I'd wager there are other users who harbor similar apprehensions. On the free tier, I never had an issue with Gemini's usage, as it's a lot more generous than what you'd get with Claude (and I daresay, even Claude Pro). The only feature that I may have actually defended paying for, which is Deep Research, isn't even behind paywall anymore. It's available for free, albeit with rate limits. When I looked at it this way, paying $20 for AI inbox assistance that I refused to touch, a context window that I didn't come close to utilizing, and a useful feature that's now free, it seemed like wasted dollars. Gemma 4 handles everything Gemini used to And it does it privately, without usage caps, and for free I've listed a lot of tools that I simply didn't touch on the Google AI Pro subscription, but it's not as if I didn't find Gemini useful at all. It's the fact that everything that made Gemini useful is available for free through Gemma 4, and I couldn't find two ways to look at it. Google AI Pro subscription offers expanded limits across AI Studio, Antigravity, Jules, and $10 a month in Google Cloud credits, which is all very impressive and for a select few, it may act as a compelling tether to Google's expanding AI ecosystem. Unfortunately, most of it is wasted on someone like myself whose coding needs begin and end at debugging Python scripts, making small edits to bolt on a feature, and the occasional bit of refactoring. Gemma 4 26B handles all of it, and because nothing is metered, I can use it as little or as much as a session demands. Then, of course, there's the everyday stuff. Like most other users, I try to reduce my cognitive burden and ask a model to make sense of my Excel spreadsheets, analyze data, summarize documents, and wrangle my notes into some kind of order. Since Gemma 4 has vision capabilities, it covers every bit of that. Of course, Gemini handles all of those tasks too, but there's something a local model offers that a cloud model doesn't, and that's keeping all your data on your machine. I've never been comfortable handing sensitive documents like health reports and bank statements to a cloud model, and that unease has only exacerbated ever since cloud providers started finding innovative ways to show me ads. But can I access it anytime, anywhere? As it turns out, yes, but there's a catch Hearing all of this, one might reasonably argue that access is the real catch. Gemini is one hyperlink or tap away from any device with an internet connection. Meanwhile, Gemma has to run on hardware I own, and hardware that can run it. It's a much smaller problem than it looks, especially now of all times. Gemma 4 isn't a single model. It's a family of models that scales to whatever I happen to be sitting in front of, and that list has expanded to include mobile phones as well. A QAT build of Gemma 4 26B (packed down from 18GB to 14GB) runs on my desktop with an RTX 4070 Ti Super at 103 tokens/second at UD-Q4_K_XL once it fits in the VRAM, while Gemma 4 E4B runs on my laptop's RTX 3070 Mobile GPU at 60-65 tokens/second at 4-bit quantization. It's worth noting, though, that the capability gap going from Gemma 4 26B to Gemma 4 E4B can sting like a whiplash. So, while it's good for information extraction or summarization, it really isn't as good for coding, math, or anything that you feel requires nuance. Gemma 4 is taking over all my devices, and my wallet is happier for it Because it's such a highly capable model that comes in numerous sizes, Gemma 4 has every potential to replace an expensive AI subscription on your bank statement, if your workflow requires the basic capabilities that I've described. When it comes to access, there really isn't a device that I get caught empty-handed on, but on the rare occasion that I do, the free tier of Gemini is still one hyperlink and login away.