"Where is the need for recompilation?"
https://docs.python.org/3/c-api/typeobj.html#c.PyObject.ob_r...
The stable ABI lets extensions access the reference count of any object directly. I don't know why. Normally the functions Py_IncRef and Py_DecRef should be sufficient. Objects no longer have a single number as their reference count.
Edit: In Python 3.2-3.9, the stable ABI included Py_INCREF, the C macro.
https://docs.python.org/3/c-api/type.html#c.PyType_FromModul...
The stable ABI lets extensions create new Python types. These can override tp_alloc field to use custom memory allocators when instances of the type are instantiated. The custom memory allocator needs to initialise the reference count to 1.
> But you're just guessing that it's slower in GIL mode, aren't you?
There are new implementations with per-object locks of list.append, dict.__setitem__ etc. These are incredibly common operations in Python code. These inherently will be more complicated than the previous implementation, meaning more instructions and slower. So there needs to be a branch at the start of list.append of whether to go to the old gil implementation or the new nogil one. Adding a branch so frequently will inherently make the runtime slower.
Now with a lot of work these can be optimised and the speed penalty reduced, but CPython goes on an annual release cycle. If the nogil code is held as a fork of the CPython repository without being merged in, until it reaches a performance goal, that brings other issues.