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You will still get better results when avoiding the bias, even with a non-CSPRNG. Their bias is much smaller.

Avoiding the division can be faster, especially if you sample many numbers from the same range. But it depends on the use case.

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You can generate so many megabytes of random per second with a CSPRNG though. I really don't see the use case where you care about bias enough to use very careful range functions but don't want to bother with a better generator.

In Monte Carlo simulations you usually don't care about predictability (so using a non-CSPRNG is fine), but statistical bias may compromise your results.

But I agree that a CSPRNG should be the default.

If the modulus fits in 16 bits and the raw random number is 64 bits I don't think your results are going to be compromised.

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