It's well priced but does that have much relevance for "state of the art coding models", specifically?
I wouldn't use Gemini 3 Flash or GPT 5.4 mini for anything except the most trivial work, although both are useful for basic exploratory work.
So I'm using a heavy model for the bulk of the work and the cost of that so far outweighs the light model that the light model cost is effectively irrelevant.
It's so interesting to see the wild pendulum swings of LLM sentiment here.
If one likes a model then it's capable of one-shotting entire apps.
Otherwise it's "only suitable for the most trivial tasks".
Never in between.
It's so true. I bet 80% of questions normal people even ask chatgpt/copilot could be answered with an 8b model trained on recent data.
I don't think people realize how small the gap between free to cheap models have from frontier models. It's going to be commoditized a lot faster than marketing will catch up. Once cash gets tight or prices rise it's more or less done for.
Especially considering some of the small free/cheap models can one shot code now.
You're confusing "different people with different opinions" with "wild pendulum swings".
Personally my opinion in this regard is highly consistent over time.