diff --git a/CHANGELOG.md b/CHANGELOG.md
index f8aaae542ec..1c2f5adadec 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -57,6 +57,7 @@ Also, that release drops support for Python 3.9, making Python 3.10 the minimum
 * Updated QR tests to avoid element-wise comparisons for `raw` and `r` modes [#2785](https://github.com/IntelPython/dpnp/pull/2785)
 * Moved all SYCL kernel functors from `backend/extensions/` to a unified `backend/kernels/` directory hierarchy [#2816](https://github.com/IntelPython/dpnp/pull/2816)
 * `dpnp` uses pybind11 3.0.3 [#2834](https://github.com/IntelPython/dpnp/pull/2834)
+* Changed `dpnp.meshgrid` to return a tuple instead of a list, aligning with NumPy 2.5+ behavior and 2025.12 version of the Python array API standard [#2854](https://github.com/IntelPython/dpnp/pull/2854)
 
 ### Deprecated
 
diff --git a/dpnp/dpnp_iface_arraycreation.py b/dpnp/dpnp_iface_arraycreation.py
index 5bcf5ea19b8..bb4fe8c2bb5 100644
--- a/dpnp/dpnp_iface_arraycreation.py
+++ b/dpnp/dpnp_iface_arraycreation.py
@@ -3111,7 +3111,7 @@ def meshgrid(*xi, copy=True, sparse=False, indexing="xy"):
         )
 
     if ndim < 1:
-        return []
+        return ()
 
     s0 = (1,) * ndim
     output = [
@@ -3132,7 +3132,7 @@ def meshgrid(*xi, copy=True, sparse=False, indexing="xy"):
     if copy:
         output = [dpt.copy(x) for x in output]
 
-    return [dpnp_array._create_from_usm_ndarray(x) for x in output]
+    return tuple(dpnp_array._create_from_usm_ndarray(x) for x in output)
 
 
 class MGridClass:
diff --git a/dpnp/tests/test_arraycreation.py b/dpnp/tests/test_arraycreation.py
index d8a80ddbff7..bed50570e7e 100644
--- a/dpnp/tests/test_arraycreation.py
+++ b/dpnp/tests/test_arraycreation.py
@@ -984,13 +984,19 @@ def test_dpctl_tensor_input(func, args):
     [[], [[1]], [[1, 2, 3], [4, 5, 6]], [[1, 2], [3, 4], [5, 6]]],
     ids=["[]", "[[1]]", "[[1, 2, 3], [4, 5, 6]]", "[[1, 2], [3, 4], [5, 6]]"],
 )
-@pytest.mark.parametrize("dtype", get_all_dtypes(no_float16=False))
+@pytest.mark.parametrize(
+    "dtype", get_all_dtypes(no_none=True, no_float16=False)
+)
 @pytest.mark.parametrize("indexing", ["ij", "xy"])
 def test_meshgrid(arrays, dtype, indexing):
     func = lambda xp, xi: xp.meshgrid(*xi, indexing=indexing)
     a = tuple(numpy.array(array, dtype=dtype) for array in arrays)
     ia = tuple(dpnp.array(array, dtype=dtype) for array in arrays)
-    assert_array_equal(func(numpy, a), func(dpnp, ia))
+
+    result = func(dpnp, ia)
+    expected = func(numpy, a)
+    assert_array_equal(result, expected, strict=True)
+    assert isinstance(result, tuple)
 
 
 @pytest.mark.parametrize("shape", [(24,), (4, 6), (2, 3, 4), (2, 3, 2, 2)])