diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5421e3e42b22..bfc0f30502a8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -23,6 +23,9 @@ Remember to align the itemized text with the first line of an item within a list
     It currently is converted to NaN, and in the future will raise a {obj}`TypeError`.
   * Passing the `condition`, `x`, and `y` parameters to `jax.numpy.where` by
     keyword arguments has been deprecated, to match `numpy.where`.
+  * Passing non-arraylike arguments to {func}`jax.numpy.array_equal` and
+    {func}`jax.numpy.array_equiv` is deprecated and now raises a {obj}`DeprecationWaning`.
+    In the future this will raise a {obj}`TypeError`.
 
 
 ## jaxlib 0.4.21
diff --git a/jax/_src/numpy/lax_numpy.py b/jax/_src/numpy/lax_numpy.py
index 8e10cd0fc0d2..49decd143bec 100644
--- a/jax/_src/numpy/lax_numpy.py
+++ b/jax/_src/numpy/lax_numpy.py
@@ -2296,6 +2296,8 @@ def _check_forgot_shape_tuple(name, shape, dtype) -> str | None:  # type: ignore
 
 @util._wraps(np.array_equal)
 def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = False) -> Array:
+  # TODO(jakevdp): Non-array input deprecated 2023-11-23; change to error.
+  util.check_arraylike("array_equal", a1, a2, emit_warning=True)
   try:
     a1, a2 = asarray(a1), asarray(a2)
   except Exception:
@@ -2310,6 +2312,8 @@ def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = False) -> Array:
 
 @util._wraps(np.array_equiv)
 def array_equiv(a1: ArrayLike, a2: ArrayLike) -> Array:
+  # TODO(jakevdp): Non-array input deprecated 2023-11-23; change to error.
+  util.check_arraylike("array_equiv", a1, a2, emit_warning=True)
   try:
     a1, a2 = asarray(a1), asarray(a2)
   except Exception:
diff --git a/jax/_src/numpy/util.py b/jax/_src/numpy/util.py
index 9c2c40a4281e..8c78f7702509 100644
--- a/jax/_src/numpy/util.py
+++ b/jax/_src/numpy/util.py
@@ -327,7 +327,7 @@ def check_arraylike(fun_name: str, *args: Any, emit_warning=False, stacklevel=3)
                     if not _arraylike(arg))
     msg = f"{fun_name} requires ndarray or scalar arguments, got {type(arg)} at position {pos}."
     if emit_warning:
-      warnings.warn(msg + "In a future JAX release this will be an error.",
+      warnings.warn(msg + " In a future JAX release this will be an error.",
                     category=DeprecationWarning, stacklevel=stacklevel)
     else:
       raise TypeError(msg.format(fun_name, type(arg), pos))
diff --git a/tests/lax_numpy_test.py b/tests/lax_numpy_test.py
index 51cf262eb9a7..9b02c10dfddc 100644
--- a/tests/lax_numpy_test.py
+++ b/tests/lax_numpy_test.py
@@ -188,10 +188,11 @@ def testLoad(self, dtype, allow_pickle):
 
   def testArrayEqualExamples(self):
     # examples from the array_equal() docstring.
-    self.assertTrue(jnp.array_equal([1, 2], [1, 2]))
     self.assertTrue(jnp.array_equal(np.array([1, 2]), np.array([1, 2])))
-    self.assertFalse(jnp.array_equal([1, 2], [1, 2, 3]))
-    self.assertFalse(jnp.array_equal([1, 2], [1, 4]))
+    with self.assertWarnsRegex(DeprecationWarning, "array_equal requires ndarray or scalar arguments.*"):
+      self.assertTrue(jnp.array_equal([1, 2], [1, 2]))
+      self.assertFalse(jnp.array_equal([1, 2], [1, 2, 3]))
+      self.assertFalse(jnp.array_equal([1, 2], [1, 4]))
 
     a = np.array([1, np.nan])
     self.assertFalse(jnp.array_equal(a, a))
@@ -205,12 +206,13 @@ def testArrayEqualExamples(self):
 
   def testArrayEquivExamples(self):
     # examples from the array_equiv() docstring.
-    self.assertTrue(jnp.array_equiv([1, 2], [1, 2]))
-    self.assertFalse(jnp.array_equiv([1, 2], [1, 3]))
-    with jax.numpy_rank_promotion('allow'):
-      self.assertTrue(jnp.array_equiv([1, 2], [[1, 2], [1, 2]]))
-      self.assertFalse(jnp.array_equiv([1, 2], [[1, 2, 1, 2], [1, 2, 1, 2]]))
-      self.assertFalse(jnp.array_equiv([1, 2], [[1, 2], [1, 3]]))
+    with self.assertWarnsRegex(DeprecationWarning, "array_equiv requires ndarray or scalar arguments.*"):
+      self.assertTrue(jnp.array_equiv([1, 2], [1, 2]))
+      self.assertFalse(jnp.array_equiv([1, 2], [1, 3]))
+      with jax.numpy_rank_promotion('allow'):
+        self.assertTrue(jnp.array_equiv([1, 2], [[1, 2], [1, 2]]))
+        self.assertFalse(jnp.array_equiv([1, 2], [[1, 2, 1, 2], [1, 2, 1, 2]]))
+        self.assertFalse(jnp.array_equiv([1, 2], [[1, 2], [1, 3]]))
 
   def testArrayModule(self):
     if numpy_dispatch is None: