That is completely false. It is a reasonable type of question and a reasonable expectation. You can't route correctly if you can't do reasoning.
Imagine a prompt:
```
INSTRUCTION: You're a customer service agent that routes customer service requests.
CUSTOMER MESSAGE: I haven't received my order and want a refund.
CONTEXT: A signature is required at delivery. No one was available to sign.
You can route to one of:
* Billing & refunds
* Shipping & tracking
* Order cancelation
* Level II customer service
```
The dumb model, e.g. 1.7B, wrongly routes to Billing. The smart model, e.g. GPT-5.6-Medium, correctly routes to Shipping. It matters. In the real world, the CONTEXT will even be 10-100x larger and noisier.
IT is not black and white and just because you are able to bring up a random example doesn't mean you are right.
These models are build to be small, we have a lot of diverse tasks which do not need fable or whatever because if you are a company and you have to route 100.000 requests per day, costs matter.
And these small models, if they are not good enough for my specific use case, i can easily finetune (which i have btw.).
You can also easily solve your example by having a second stage. If the customer is unhappy about the first thing or an employee flags it as 'wrong', you can either send it automatically to a more expensive model or the employee fixes it and you got automatic training data.
They are here to route things, do tool calls, ask experts.