diff --git a/CHANGELOG.md b/CHANGELOG.md
index 2a40f29d..dbdc28d9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,9 @@
 # Changelog
 
+## 13.12.1
+- `Vector`:
+  - Extracting values from cache for `exp` and `prod` methods fixed
+
 ## 13.12.0
 - `Matrix`:
   - add `solve` method for solving a system of linear equations
diff --git a/lib/src/vector/float32x4_vector.dart b/lib/src/vector/float32x4_vector.dart
index 15eab365..7d460a95 100644
--- a/lib/src/vector/float32x4_vector.dart
+++ b/lib/src/vector/float32x4_vector.dart
@@ -434,7 +434,7 @@ class Float32x4Vector with IterableMixin<double> implements Vector {
   Vector pow(num exponent) => _elementWisePow(exponent);
 
   @override
-  Vector exp({bool skipCaching = false}) => _cache.get(vectorLogKey, () {
+  Vector exp({bool skipCaching = false}) => _cache.get(vectorExpKey, () {
         final source = Float32List(length);
         final list = _getTypedList();
 
@@ -503,7 +503,7 @@ class Float32x4Vector with IterableMixin<double> implements Vector {
 
   @override
   double prod({bool skipCaching = false}) =>
-      _cache.get(vectorSumKey, _findProduct, skipCaching: skipCaching);
+      _cache.get(vectorProdKey, _findProduct, skipCaching: skipCaching);
 
   @override
   double distanceTo(
diff --git a/lib/src/vector/float64x2_vector.g.dart b/lib/src/vector/float64x2_vector.g.dart
index 5ca15dad..a523f1d2 100644
--- a/lib/src/vector/float64x2_vector.g.dart
+++ b/lib/src/vector/float64x2_vector.g.dart
@@ -437,7 +437,7 @@ class Float64x2Vector with IterableMixin<double> implements Vector {
   Vector pow(num exponent) => _elementWisePow(exponent);
 
   @override
-  Vector exp({bool skipCaching = false}) => _cache.get(vectorLogKey, () {
+  Vector exp({bool skipCaching = false}) => _cache.get(vectorExpKey, () {
         final source = Float64List(length);
         final list = _getTypedList();
 
@@ -506,7 +506,7 @@ class Float64x2Vector with IterableMixin<double> implements Vector {
 
   @override
   double prod({bool skipCaching = false}) =>
-      _cache.get(vectorSumKey, _findProduct, skipCaching: skipCaching);
+      _cache.get(vectorProdKey, _findProduct, skipCaching: skipCaching);
 
   @override
   double distanceTo(
diff --git a/pubspec.yaml b/pubspec.yaml
index e56e2870..d7881e6c 100644
--- a/pubspec.yaml
+++ b/pubspec.yaml
@@ -1,6 +1,6 @@
 name: ml_linalg
 description: SIMD-based linear algebra and statistics, efficient manipulation with numeric data
-version: 13.12.0
+version: 13.12.1
 homepage: https://github.com/gyrdym/ml_linalg
 
 environment:
diff --git a/test/vector/methods/exp/exp_test_group_factory.dart b/test/vector/methods/exp/exp_test_group_factory.dart
index 08241f27..5ca098d4 100644
--- a/test/vector/methods/exp/exp_test_group_factory.dart
+++ b/test/vector/methods/exp/exp_test_group_factory.dart
@@ -18,5 +18,17 @@ void vectorExpTestGroupFactory(DType dtype) =>
               iterableAlmostEqualTo(
                   [2.7182, 7.3890, 20.08553, 54.5981, 148.4131], 1e-3));
         });
+
+        test('should extract value from cache', () {
+          final vector =
+              Vector.fromList([1.0, 2.0, 3.0, 4.0, 5.0], dtype: dtype);
+
+          final log = vector.log();
+          final exp = vector.exp();
+          final exp2 = vector.exp();
+
+          expect(exp, exp2);
+          expect(exp, isNot(log));
+        });
       });
     });
diff --git a/test/vector/methods/prod/prod_test_group_factory.dart b/test/vector/methods/prod/prod_test_group_factory.dart
index fa584d8a..2e3229e2 100644
--- a/test/vector/methods/prod/prod_test_group_factory.dart
+++ b/test/vector/methods/prod/prod_test_group_factory.dart
@@ -38,5 +38,17 @@ void vectorProdTestGroupFactory(DType dtype) =>
           final vector = Vector.fromList([], dtype: dtype);
           expect(vector.prod(), isNaN);
         });
+
+        test('should extract value from cache', () {
+          final vector =
+              Vector.fromList([1.0, 2.0, 3.0, 4.0, 5.0], dtype: dtype);
+
+          final sum = vector.sum();
+          final prod = vector.prod();
+          final prod2 = vector.prod();
+
+          expect(prod, prod2);
+          expect(prod, isNot(sum));
+        });
       });
     });