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Sources for what? The pareto frontier of LLMs? How Google is pretty much on the line with most of their LLM products? Or this particular model? For the first two you need to look for size/cost vs. accuracy charts. There are tons of them floating around. For the latter there is not much official info except what you can infer by analyzing the weights.bin file that Chrome downloads. But it does mention Gemini in there, so it seems pretty obvious that it is from their proprietary line of models.
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Just because it's called Gemini doesn't mean that it's somehow automatically as comparable with the frontier of small models as well, does it?
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All Gemini models sit around the frontier, especially if you go to smaller sizes. Google is actually more invested into efficiency than size unlike some of the other big providers.
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Do you have any benchmark details on the on-device Gemini models? I haven't found a lot of public information on these.
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Sources for your claim that the model being downloaded to Android/Chrome is Gemini instead of Gemma. Other than downloading the bin file myself and analyzing it lol.
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How about Google itself?

https://developer.chrome.com/docs/ai/prompt-api

>With the Prompt API, you can send natural language requests to Gemini Nano in the browser.

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Thanks. Looks like the current Gemini Nano is actually a separate model with the Gemma 3n architecture that has been distilled from Gemini 2.5 Flash[1].

Also, the next version of Gemini Nano will be based directly on Gemma 4 (so not distilled, not Gemini at all except for the name)[2].

So no, it's not a frontier model. Those don't run on your phone or in your browser.

[1]: https://developer.android.com/blog/posts/ml-kit-s-prompt-api...

[2]: https://android-developers.googleblog.com/2026/04/AI-Core-De...

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Oh, now I see your problem. You confused the pareto frontier with the pure scale frontier. They are very much not the same.

Also, distillation is how most of these smaller models are made from the biggest models. That process largely defines the frontier along most of the curve.

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I'm not going to keep arguing with you, and I don't see why you are being so arrogant and belligerent. Your problem is that you are wrong. If you want to keep arguing, go to https://gemini.google.com/. Gemini knows what a frontier model is and it knows that Gemini Nano is fundamentally different from the other Gemini models. And the next version of Gemini Nano is built directly on Gemma 4.

Have a great day!

P.S. When someone gives you sources to refute your smug arguments, try reading them before mouthing off again.

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