Free of cost != free open model. Free of cost means all your requests are logged for Google to use as training data and whatnot.
Llama3.2 on the other hand runs locally, no data is ever sent to a 3rd party, so I can freely use it to summarize all my notes regardless of one of them being from my most recent therapy session and another being my thoughts on how to solve a delicate problem involving politics at work. I don't need to pre-classify all the input to make sure it's safe to share. Same with images, I can use Llama3.2 11B locally to interpret any photo I've taken without having to worry about getting consent from the people in the photo to share it with a 3rd party, or whether the photo is of my passport for some application I had to file or a receipt of something I bought that I don't want Google to train their next vision model OCR on.
TL;DR - Google free of cost models are irrelevant when talking about local models.
Llama3.2 on the other hand runs locally, no data is ever sent to a 3rd party, so I can freely use it to summarize all my notes regardless of one of them being from my most recent therapy session and another being my thoughts on how to solve a delicate problem involving politics at work. I don't need to pre-classify all the input to make sure it's safe to share. Same with images, I can use Llama3.2 11B locally to interpret any photo I've taken without having to worry about getting consent from the people in the photo to share it with a 3rd party, or whether the photo is of my passport for some application I had to file or a receipt of something I bought that I don't want Google to train their next vision model OCR on.
TL;DR - Google free of cost models are irrelevant when talking about local models.