Why does JIT'ed code consume so much more memory than either compiled or interpreted code?

Compiled code such as C consumes little memory.

Interpreted code such as Python consumes more memory, which is understandable.

With JIT, a program is (selectively) compiled into machine code at run time. So shouldn't the memory consumption of a JIT'ed program be somewhere between that of a compiled and an interpreted program?

Instead a JIT'ed program (such as PyPy) consume several times more memory than the equivalent interpreted program (such as Python). Why?