I literally have DistilBERT models that can do this exact task in ~14ms on an NVIDIA A6000. I don’t know the precise performance per watt, but it’s really fucking low.
I use LLM to help with training data as they are great at zero shot, but after the training corpora is built a small, well trained, model will smoke an LLM in classification accuracy and are way faster - which means you can get scale and low carbon cost.
In my personal opinion there is a moral imperative to use the most efficient models possible at every step in a system design. LLM are one type of architecture and while they do a lot well, you can use a variety of energy efficient techniques to do discrete tasks much better.