What is the benefit of using a HyperlinkedModelSerializer in DRF?

We need to implement relationship between entities in Web API design.
There are several ways to do that (as mentions on DRF documentation):

• Using primary keys.
• Using hyperlinking between entities.
• Using a unique identifying slug field on the related entity.
• Using the default string representation of the related entity.
• Nesting the related entity inside the parent representation.
• Some other custom representation

The HyperlinkedModelSerializer has the following differences from ModelSerializer:

• It does not include the id field by default.
• It includes a url field, using HyperlinkedIdentityField.
• Relationships use HyperlinkedRelatedField, instead of PrimaryKeyRelatedField.

A simple example:

class UserSerializer(serializers.HyperlinkedModelSerializer):
    class Meta:
        model = User
        fields = ('url', 'username', 'email', 'groups')


class GroupSerializer(serializers.HyperlinkedModelSerializer):
    class Meta:
        model = Group
        fields = ('url', 'name')

bash> http -a admin:yourpassword http://127.0.0.1:8000/users/

 "results": [
        {
            "email": "admin@min.com",
            "groups": [
                "http://127.0.0.1:8000/groups/1/",
                "http://127.0.0.1:8000/groups/2/"
            ],
            "url": "http://127.0.0.1:8000/users/1/",
            "username": "admin"
        }
    ]

But if you change

class UserSerializer(serializers.ModelSerializer):
        class Meta:
            model = User
            fields = ('url', 'username', 'email', 'groups')

The result will be:

   "results": [
        {
            "email": "admin@min.com",
            "groups": [
                1,
                2
            ],
            "url": "http://127.0.0.1:8000/users/1/",
            "username": "admin"
        }
    ]