diff --git a/poetry.lock b/poetry.lock
index c603c7c..bce4997 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -102,6 +102,70 @@ dill = ["dill"]
 full = ["cloudpickle", "dill", "lz4"]
 lz4 = ["lz4"]
 
+[[package]]
+name = "coverage"
+version = "7.5.1"
+description = "Code coverage measurement for Python"
+optional = false
+python-versions = ">=3.8"
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+]
+
+[package.extras]
+toml = ["tomli"]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.1"
@@ -193,38 +257,38 @@ tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"]
 
 [[package]]
 name = "mypy"
-version = "1.9.0"
+version = "1.10.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
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-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
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+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
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 python-versions = ">=3.8"
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 [package.extras]
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 [[package]]
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-version = "2.7.0"
+version = "2.7.1"
 description = "Data validation using Python type hints"
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+pydantic-core = "2.18.2"
 typing-extensions = ">=4.6.1"
 
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+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"},
+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"},
+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"},
+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"},
+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"},
+    {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"},
+    {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
 ]
 
 [package.dependencies]
@@ -546,13 +606,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyright"
-version = "1.1.359"
+version = "1.1.362"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pyright-1.1.359-py3-none-any.whl", hash = "sha256:5582777be7eab73512277ac7da7b41e15bc0737f488629cb9babd96e0769be61"},
-    {file = "pyright-1.1.359.tar.gz", hash = "sha256:f0eab50f3dafce8a7302caeafd6a733f39901a2bf5170bb23d77fd607c8a8dbc"},
+    {file = "pyright-1.1.362-py3-none-any.whl", hash = "sha256:969957cff45154d8a45a4ab1dae5bdc8223d8bd3c64654fa608ab3194dfff319"},
+    {file = "pyright-1.1.362.tar.gz", hash = "sha256:6a477e448d4a07a6a0eab58b2a15a1bbed031eb3169fa809edee79cca168d83a"},
 ]
 
 [package.dependencies]
@@ -663,28 +723,28 @@ files = [
 
 [[package]]
 name = "ruff"
-version = "0.4.0"
+version = "0.4.4"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.4.0-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:70b8c620cf2212744eabd6d69c4f839f2be0d8880d27beaeb0adb6aa0b316aa8"},
-    {file = "ruff-0.4.0-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:cfa3e3ff53be05a8c5570c1585ea1e089f6b399ca99fcb78598d4a8234f248db"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5616cca501d1d16b932b7e607d7e1fd1b8c8c51d6ee484b7940fc1adc5bea541"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46eff08dd480b5d9b540846159fe134d70e3c45a3c913c600047cbf7f0e4e308"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2d546f511431fff2b17adcf7110f3b2c2c0c8d33b0e10e5fd27fd340bc617efc"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:c7b6b6b38e216036284c5779b6aa14acbf5664e3b5872533219cf93daf40ddfb"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e1cf8b064bb2a6b4922af7274fe2dffcb552d96ba716b2fbe5e2c970ed7de18"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9911c9046b94253e1fa844c0192bb764b86866a881502dee324686474d498c17"},
-    {file = "ruff-0.4.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ca7a971c8f1a0b6f5ff4a819c0d1c2619536530bbd5a289af725d8b2ef1013d"},
-    {file = "ruff-0.4.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:752e0f77f421141dd470a0b1bed4fd8f763aebabe32c80ed3580f740ef4ba807"},
-    {file = "ruff-0.4.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:84f2a5dd8f33964d826c5377e094f7ce11e55e432cd42d3bf64efe4384224a03"},
-    {file = "ruff-0.4.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:0b20e7db4a672495320a8a18149b7febf4e4f97509a4657367144569ce0915fd"},
-    {file = "ruff-0.4.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:0b0eddd339e24dc4f7719b1cde4967f6b6bc0ad948cc183711ba8910f14aeafe"},
-    {file = "ruff-0.4.0-py3-none-win32.whl", hash = "sha256:e70befd488271a2c28c80bd427f73d8855dd222fc549fa1e9967d287c5cfe781"},
-    {file = "ruff-0.4.0-py3-none-win_amd64.whl", hash = "sha256:8584b9361900997ccf8d7aaa4dc4ab43e258a853ca7189d98ac929dc9ee50875"},
-    {file = "ruff-0.4.0-py3-none-win_arm64.whl", hash = "sha256:fea4ec813c965e40af29ee627a1579ee1d827d77e81d54b85bdd7b42d1540cdd"},
-    {file = "ruff-0.4.0.tar.gz", hash = "sha256:7457308d9ebf00d6a1c9a26aa755e477787a636c90b823f91cd7d4bea9e89260"},
+    {file = "ruff-0.4.4-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:29d44ef5bb6a08e235c8249294fa8d431adc1426bfda99ed493119e6f9ea1bf6"},
+    {file = "ruff-0.4.4-py3-none-macosx_11_0_arm64.whl", hash = "sha256:c4efe62b5bbb24178c950732ddd40712b878a9b96b1d02b0ff0b08a090cbd891"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c8e2f1e8fc12d07ab521a9005d68a969e167b589cbcaee354cb61e9d9de9c15"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:60ed88b636a463214905c002fa3eaab19795679ed55529f91e488db3fe8976ab"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b90fc5e170fc71c712cc4d9ab0e24ea505c6a9e4ebf346787a67e691dfb72e85"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:8e7e6ebc10ef16dcdc77fd5557ee60647512b400e4a60bdc4849468f076f6eef"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b9ddb2c494fb79fc208cd15ffe08f32b7682519e067413dbaf5f4b01a6087bcd"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c51c928a14f9f0a871082603e25a1588059b7e08a920f2f9fa7157b5bf08cfe9"},
+    {file = "ruff-0.4.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b5eb0a4bfd6400b7d07c09a7725e1a98c3b838be557fee229ac0f84d9aa49c36"},
+    {file = "ruff-0.4.4-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:b1867ee9bf3acc21778dcb293db504692eda5f7a11a6e6cc40890182a9f9e595"},
+    {file = "ruff-0.4.4-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:1aecced1269481ef2894cc495647392a34b0bf3e28ff53ed95a385b13aa45768"},
+    {file = "ruff-0.4.4-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9da73eb616b3241a307b837f32756dc20a0b07e2bcb694fec73699c93d04a69e"},
+    {file = "ruff-0.4.4-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:958b4ea5589706a81065e2a776237de2ecc3e763342e5cc8e02a4a4d8a5e6f95"},
+    {file = "ruff-0.4.4-py3-none-win32.whl", hash = "sha256:cb53473849f011bca6e754f2cdf47cafc9c4f4ff4570003a0dad0b9b6890e876"},
+    {file = "ruff-0.4.4-py3-none-win_amd64.whl", hash = "sha256:424e5b72597482543b684c11def82669cc6b395aa8cc69acc1858b5ef3e5daae"},
+    {file = "ruff-0.4.4-py3-none-win_arm64.whl", hash = "sha256:39df0537b47d3b597293edbb95baf54ff5b49589eb7ff41926d8243caa995ea6"},
+    {file = "ruff-0.4.4.tar.gz", hash = "sha256:f87ea42d5cdebdc6a69761a9d0bc83ae9b3b30d0ad78952005ba6568d6c022af"},
 ]
 
 [[package]]
@@ -739,4 +799,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.13"
-content-hash = "5ec660de4dc87da3469bf6720af6df9f7cfc55b4b6a9bd028d8fdfea22431251"
+content-hash = "3f82713472ad9d743450548e60084e32040d5a27d175b75ebfe29c479cea529f"
diff --git a/pydantic_numpy/model.py b/pydantic_numpy/model.py
index 79550fa..520a365 100644
--- a/pydantic_numpy/model.py
+++ b/pydantic_numpy/model.py
@@ -45,24 +45,29 @@ class NumpyModel(BaseModel):
     _directory_suffix: ClassVar[str] = ".pdnp"
 
     def __eq__(self, other: Any) -> bool:
-        if isinstance(other, NumpyModel):
-            self_type = self.__pydantic_generic_metadata__["origin"] or self.__class__
-            other_type = other.__pydantic_generic_metadata__["origin"] or other.__class__
+        if not isinstance(other, BaseModel):
+            return NotImplemented  # delegate to the other item in the comparison
+
+        self_type = self.__pydantic_generic_metadata__["origin"] or self.__class__
+        other_type = other.__pydantic_generic_metadata__["origin"] or other.__class__
 
+        if not (
+            self_type == other_type
+            and getattr(self, "__pydantic_private__", None) == getattr(other, "__pydantic_private__", None)
+            and self.__pydantic_extra__ == other.__pydantic_extra__
+        ):
+            return False
+
+        if isinstance(other, NumpyModel):
             self_ndarray_field_to_array, self_other_field_to_value = self._dump_numpy_split_dict()
             other_ndarray_field_to_array, other_other_field_to_value = other._dump_numpy_split_dict()
 
-            return (
-                self_type == other_type
-                and self_other_field_to_value == other_other_field_to_value
-                and self.__pydantic_private__ == other.__pydantic_private__
-                and self.__pydantic_extra__ == other.__pydantic_extra__
-                and _compare_np_array_dicts(self_ndarray_field_to_array, other_ndarray_field_to_array)
+            return self_other_field_to_value == other_other_field_to_value and _compare_np_array_dicts(
+                self_ndarray_field_to_array, other_ndarray_field_to_array
             )
-        elif isinstance(other, BaseModel):
-            return super().__eq__(other)
-        else:
-            return NotImplemented  # delegate to the other item in the comparison
+
+        # Self is NumpyModel, other is not; likely unequal; checking anyway.
+        return super().__eq__(other)
 
     @classmethod
     @validate_call
@@ -156,10 +161,10 @@ def _dump_numpy_split_dict(self) -> tuple[dict, dict]:
         ndarray_field_to_array = {}
         other_field_to_value = {}
 
-        for k, v in self.model_dump(exclude_unset=True).items():
+        for k, v in self.model_dump().items():
             if isinstance(v, np.ndarray):
                 ndarray_field_to_array[k] = v
-            else:
+            elif v:
                 other_field_to_value[k] = v
 
         return ndarray_field_to_array, other_field_to_value
@@ -259,16 +264,13 @@ def _compare_np_array_dicts(
     keys2 = frozenset(dict_b.keys())
 
     if keys1 != keys2:
-        raise ValueError("Dictionaries have different keys")
+        return False
 
     for key in keys1:
         arr_a = dict_a[key]
         arr_b = dict_b[key]
 
-        if arr_a.shape != arr_b.shape:
-            raise ValueError(f"Arrays for key '{key}' have different shapes")
-
-        if not np_general_all_close(arr_a, arr_b, rtol, atol):
+        if arr_a.shape != arr_b.shape or not np_general_all_close(arr_a, arr_b, rtol, atol):
             return False
 
     return True
diff --git a/pyproject.toml b/pyproject.toml
index 08c428c..7a5202d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pydantic_numpy"
-version = "5.0.1"
+version = "5.0.2"
 description = "Pydantic Model integration of the NumPy array"
 authors = ["Can H. Tartanoglu", "Christoph Heindl"]
 maintainers = ["Can H. Tartanoglu <python@rotas.mozmail.com>"]
@@ -30,6 +30,7 @@ semver = "^3.0.1"
 pytest = "^7.4.0"
 parameterized = "^0.9.0"
 orjson = "*"
+coverage = "^7.5.1"
 
 [tool.poetry.group.format.dependencies]
 black = "^23.7.0"
diff --git a/tests/helper/testing_groups.py b/tests/helper/testing_groups.py
index 0f96a7e..da17945 100644
--- a/tests/helper/testing_groups.py
+++ b/tests/helper/testing_groups.py
@@ -1,4 +1,4 @@
-import os
+import platform
 
 import numpy as np
 
@@ -185,7 +185,7 @@
     (np.array([[[0]]]), np.int64, Np3DArrayInt64, 3),
 ]
 
-if os.name != "nt":
+if platform.system() != "Windows":
 
     def get_strict_data_type_nd_array_typing_dimensions_128_bit():
         return [
diff --git a/tests/test_np_model.py b/tests/test_np_model.py
index 66cbfe1..dddc7e4 100644
--- a/tests/test_np_model.py
+++ b/tests/test_np_model.py
@@ -1,11 +1,11 @@
-import os
+import platform
 import tempfile
 from pathlib import Path
 
 import numpy as np
 import pytest
 
-from pydantic_numpy.model import model_agnostic_load
+from pydantic_numpy.model import NumpyModel, model_agnostic_load
 from pydantic_numpy.typing import NpNDArray
 from tests.model import (
     NpNDArrayModelWithNonArray,
@@ -17,28 +17,19 @@
 NON_ARRAY_VALUE = 5
 
 
-def _numpy_model():
+@pytest.fixture
+def numpy_model() -> NpNDArrayModelWithNonArray:
     return NpNDArrayModelWithNonArray(array=np.array([0.0]), non_array=NON_ARRAY_VALUE)
 
 
 @pytest.fixture
-def numpy_model():
-    return _numpy_model()
-
-
-@pytest.fixture(
-    params=[
-        _numpy_model(),
-        NpNDArrayModelWithNonArrayWithArbitrary(
-            array=np.array([0.0]), non_array=NON_ARRAY_VALUE, my_arbitrary_slice=slice(0, 10)
-        ),
-    ]
-)
-def numpy_model_with_arbitrary(request):
-    return request.param
+def numpy_model_with_arbitrary() -> NpNDArrayModelWithNonArrayWithArbitrary:
+    return NpNDArrayModelWithNonArrayWithArbitrary(
+        array=np.array([0.0]), non_array=NON_ARRAY_VALUE, my_arbitrary_slice=slice(0, 1)
+    )
 
 
-if os.name != "nt":
+if platform.system() != "Windows":
 
     def test_io_yaml(numpy_model: NpNDArrayModelWithNonArray) -> None:
         with tempfile.TemporaryDirectory() as tmp_dirname:
@@ -80,3 +71,30 @@ class NumpyModelBForTest(NpNDArrayModelWithNonArray):
             models = [NumpyModelAForTest, NumpyModelBForTest]
             assert model_a == model_agnostic_load(tmp_dir_path, TEST_MODEL_OBJECT_ID, models=models)
             assert model_b == model_agnostic_load(tmp_dir_path, OTHER_TEST_MODEL_OBJECT_ID, models=models)
+
+    def test_simple_eq(numpy_model: NpNDArrayModelWithNonArray) -> None:
+        assert numpy_model == numpy_model
+
+    def test_not_eq_different_fields(numpy_model, numpy_model_with_arbitrary) -> None:
+        assert numpy_model != numpy_model_with_arbitrary
+
+        class AnotherModel(NumpyModel):
+            yarra: NpNDArray
+
+        assert numpy_model != AnotherModel(yarra=np.array([0.0]))
+
+    def test_not_eq_different_inner(numpy_model: NpNDArrayModelWithNonArray) -> None:
+        assert numpy_model != NpNDArrayModelWithNonArray(array=np.array([1.0]), non_array=NON_ARRAY_VALUE)
+
+    def test_not_eq_different_shape(numpy_model: NpNDArrayModelWithNonArray) -> None:
+        assert numpy_model != NpNDArrayModelWithNonArray(array=np.array([0.0, 1.0]), non_array=NON_ARRAY_VALUE)
+
+    def test_random_not_eq(numpy_model: NpNDArrayModelWithNonArray) -> None:
+        for r in (0, 5, 1.0, "1"):
+            assert numpy_model != r
+
+    def test_serde_eq(numpy_model: NpNDArrayModelWithNonArray) -> None:
+        ser = numpy_model.model_dump_json()
+        reread_data = numpy_model.model_validate_json(ser)
+
+        assert numpy_model == reread_data
diff --git a/tests/test_typing.py b/tests/test_typing.py
index 3ecb23b..181ed00 100644
--- a/tests/test_typing.py
+++ b/tests/test_typing.py
@@ -1,4 +1,4 @@
-import os
+import platform
 import tempfile
 from pathlib import Path
 from typing import Optional
@@ -54,7 +54,7 @@ def test_wrong_dimension():
         get_numpy_type_model(Np1DArrayInt64)(array_field=np.array([[0]]))
 
 
-if os.name != "nt":
+if platform.system() != "Windows":
     from tests.helper.testing_groups import (
         get_strict_data_type_nd_array_typing_dimensions_128_bit,
     )