diff --git a/mlx/ops.cpp b/mlx/ops.cpp
index d56ed7ffa4..f2e3304cab 100644
--- a/mlx/ops.cpp
+++ b/mlx/ops.cpp
@@ -3947,6 +3947,7 @@ array cumsum(
     int axis,
     bool reverse /* = false*/,
     bool inclusive /* = true*/,
+    std::optional<Dtype> dtype /* = std::nullopt*/,
     StreamOrDevice s /* = {}*/) {
   int ndim = a.ndim();
   if (axis >= ndim || axis < -ndim) {
@@ -3956,21 +3957,24 @@ array cumsum(
     throw std::invalid_argument(msg.str());
   }
   axis = (axis + a.ndim()) % a.ndim();
-  auto out_type = a.dtype() == bool_ ? int32 : a.dtype();
+  auto x = dtype ? astype(a, *dtype, s) : a;
+  auto out_type = x.dtype() == bool_ ? int32 : x.dtype();
   return array(
-      a.shape(),
+      x.shape(),
       out_type,
       std::make_shared<Scan>(
           to_stream(s), Scan::ReduceType::Sum, axis, reverse, inclusive),
-      {a});
+      {x});
 }
 
 array cumsum(
     const array& a,
     bool reverse /* = false*/,
     bool inclusive /* = true*/,
+    std::optional<Dtype> dtype /* = std::nullopt*/,
     StreamOrDevice s /* = {}*/) {
-  return cumsum(flatten(a, to_stream(s)), 0, reverse, inclusive, to_stream(s));
+  return cumsum(
+      flatten(a, to_stream(s)), 0, reverse, inclusive, dtype, to_stream(s));
 }
 
 array cumprod(
@@ -3978,6 +3982,7 @@ array cumprod(
     int axis,
     bool reverse /* = false*/,
     bool inclusive /* = true*/,
+    std::optional<Dtype> dtype /* = std::nullopt*/,
     StreamOrDevice s /* = {}*/) {
   int ndim = a.ndim();
   if (axis >= ndim || axis < -ndim) {
@@ -3987,20 +3992,22 @@ array cumprod(
     throw std::invalid_argument(msg.str());
   }
   axis = (axis + a.ndim()) % a.ndim();
+  auto x = dtype ? astype(a, *dtype, s) : a;
   return array(
-      a.shape(),
-      a.dtype(),
+      x.shape(),
+      x.dtype(),
       std::make_shared<Scan>(
           to_stream(s), Scan::ReduceType::Prod, axis, reverse, inclusive),
-      {a});
+      {x});
 }
 
 array cumprod(
     const array& a,
     bool reverse /* = false*/,
     bool inclusive /* = true*/,
+    std::optional<Dtype> dtype /* = std::nullopt*/,
     StreamOrDevice s /* = {}*/) {
-  return cumprod(flatten(a, s), 0, reverse, inclusive, s);
+  return cumprod(flatten(a, s), 0, reverse, inclusive, dtype, s);
 }
 
 array cummax(
diff --git a/mlx/ops.h b/mlx/ops.h
index 97f06eb6e3..cc6deef38f 100644
--- a/mlx/ops.h
+++ b/mlx/ops.h
@@ -1333,7 +1333,12 @@ MLX_API array cumsum(
     const array& a,
     bool reverse = false,
     bool inclusive = true,
+    std::optional<Dtype> dtype = std::nullopt,
     StreamOrDevice s = {});
+inline array
+cumsum(const array& a, bool reverse, bool inclusive, StreamOrDevice s) {
+  return cumsum(a, reverse, inclusive, std::nullopt, s);
+}
 
 /** Cumulative sum of an array along the given axis. */
 MLX_API array cumsum(
@@ -1341,14 +1346,28 @@ MLX_API array cumsum(
     int axis,
     bool reverse = false,
     bool inclusive = true,
+    std::optional<Dtype> dtype = std::nullopt,
     StreamOrDevice s = {});
+inline array cumsum(
+    const array& a,
+    int axis,
+    bool reverse,
+    bool inclusive,
+    StreamOrDevice s) {
+  return cumsum(a, axis, reverse, inclusive, std::nullopt, s);
+}
 
 /** Cumulative product of an array. */
 MLX_API array cumprod(
     const array& a,
     bool reverse = false,
     bool inclusive = true,
+    std::optional<Dtype> dtype = std::nullopt,
     StreamOrDevice s = {});
+inline array
+cumprod(const array& a, bool reverse, bool inclusive, StreamOrDevice s) {
+  return cumprod(a, reverse, inclusive, std::nullopt, s);
+}
 
 /** Cumulative product of an array along the given axis. */
 MLX_API array cumprod(
@@ -1356,7 +1375,16 @@ MLX_API array cumprod(
     int axis,
     bool reverse = false,
     bool inclusive = true,
+    std::optional<Dtype> dtype = std::nullopt,
     StreamOrDevice s = {});
+inline array cumprod(
+    const array& a,
+    int axis,
+    bool reverse,
+    bool inclusive,
+    StreamOrDevice s) {
+  return cumprod(a, axis, reverse, inclusive, std::nullopt, s);
+}
 
 /** Cumulative max of an array. */
 MLX_API array cummax(
diff --git a/python/src/ops.cpp b/python/src/ops.cpp
index f11f98427d..4f515f5331 100644
--- a/python/src/ops.cpp
+++ b/python/src/ops.cpp
@@ -3447,32 +3447,34 @@ void init_ops(nb::module_& m) {
          std::optional<int> axis,
          bool reverse,
          bool inclusive,
+         std::optional<mx::Dtype> dtype,
          mx::StreamOrDevice s) {
         if (axis) {
-          return mx::cumsum(a, *axis, reverse, inclusive, s);
-        } else {
-          return mx::cumsum(mx::reshape(a, {-1}, s), 0, reverse, inclusive, s);
+          return mx::cumsum(a, *axis, reverse, inclusive, dtype, s);
         }
+        return mx::cumsum(a, reverse, inclusive, dtype, s);
       },
       nb::arg(),
       "axis"_a = nb::none(),
       nb::kw_only(),
       "reverse"_a = false,
       "inclusive"_a = true,
+      "dtype"_a = nb::none(),
       "stream"_a = nb::none(),
       nb::sig(
-          "def cumsum(a: array, /, axis: Optional[int] = None, *, reverse: bool = False, inclusive: bool = True, stream: Union[None, Stream, Device] = None) -> array"),
+          "def cumsum(a: array, /, axis: Optional[int] = None, *, reverse: bool = False, inclusive: bool = True, dtype: Optional[Dtype] = None, stream: Union[None, Stream, Device] = None) -> array"),
       R"pbdoc(
         Return the cumulative sum of the elements along the given axis.
 
         Args:
-          a (array): Input array
+          a (array): Input array.
           axis (int, optional): Optional axis to compute the cumulative sum
             over. If unspecified the cumulative sum of the flattened array is
             returned.
           reverse (bool): Perform the cumulative sum in reverse.
           inclusive (bool): The i-th element of the output includes the i-th
             element of the input.
+          dtype (Dtype, optional): Cast the input to this type before summing.
 
         Returns:
           array: The output array.
@@ -3483,32 +3485,34 @@ void init_ops(nb::module_& m) {
          std::optional<int> axis,
          bool reverse,
          bool inclusive,
+         std::optional<mx::Dtype> dtype,
          mx::StreamOrDevice s) {
         if (axis) {
-          return mx::cumprod(a, *axis, reverse, inclusive, s);
-        } else {
-          return mx::cumprod(mx::reshape(a, {-1}, s), 0, reverse, inclusive, s);
+          return mx::cumprod(a, *axis, reverse, inclusive, dtype, s);
         }
+        return mx::cumprod(a, reverse, inclusive, dtype, s);
       },
       nb::arg(),
       "axis"_a = nb::none(),
       nb::kw_only(),
       "reverse"_a = false,
       "inclusive"_a = true,
+      "dtype"_a = nb::none(),
       "stream"_a = nb::none(),
       nb::sig(
-          "def cumprod(a: array, /, axis: Optional[int] = None, *, reverse: bool = False, inclusive: bool = True, stream: Union[None, Stream, Device] = None) -> array"),
+          "def cumprod(a: array, /, axis: Optional[int] = None, *, reverse: bool = False, inclusive: bool = True, dtype: Optional[Dtype] = None, stream: Union[None, Stream, Device] = None) -> array"),
       R"pbdoc(
         Return the cumulative product of the elements along the given axis.
 
         Args:
-          a (array): Input array
+          a (array): Input array.
           axis (int, optional): Optional axis to compute the cumulative product
-            over. If unspecified the cumulative product of the flattened array is
-            returned.
+            over. If unspecified the cumulative product of the flattened array
+            is returned.
           reverse (bool): Perform the cumulative product in reverse.
           inclusive (bool): The i-th element of the output includes the i-th
             element of the input.
+          dtype (Dtype, optional): Cast the input to this type before multiplying.
 
         Returns:
           array: The output array.
@@ -5914,6 +5918,8 @@ void init_ops(nb::module_& m) {
   m.attr("atan2") = m.attr("arctan2");
   m.attr("bitwise_left_shift") = m.attr("left_shift");
   m.attr("bitwise_right_shift") = m.attr("right_shift");
+  m.attr("cumulative_prod") = m.attr("cumprod");
+  m.attr("cumulative_sum") = m.attr("cumsum");
   m.attr("empty") = m.attr("zeros");
   m.attr("empty_like") = m.attr("zeros_like");
   m.attr("matrix_transpose") = m.attr("transpose");