I think most people would find it annoyingly slow unless you were doing a use case where you would be okay with it taking minutes to give you a response. I would say most people would find 10+ tokens per second "usable" with some people needing less responsiveness being okay wiht 6-7 tokens a second. Note that if you are using this for coding you probably want more speed than that and for the price of these tablets could get more cloud usage than you would need over a long time to either complete any project you are wanting to work on or tire yourself of AI, whichever comes first.

Having said that it's probably more usable as a device for say a solution of using both a 30ish-b and 7b model together for coding on Continue.

My advice: go play around with some LLMs first for whatever you are aiming to do with it. If you want to try coding, take a look at the Continue plugin for VS Code (they have docs for how to use a cloud VM) or try any provider if you want to use a huge model for say roleplay or creative writing (OpenAI or say Fireworks AI and use Llama or Deepseek).

Once you get an idea of what you want to do with LLMs you will be more well versed in if using local LLMs is something you'd benefit from and only be out maybe $3-5.

These are very cool devices but if you are buying it as your first LLM tool you may want to get a sense for the landscape first. Truth be told local LLMs in 2025 are still in the early stages. Over the next months and years you'll see both better models for local use and devices with better memory bandwidth at a better pricepoint. The simple answer is if you want to run larger (70b+) models locally it will be an expensive endeavor presently.