diff --git a/docs/configs.md b/docs/configs.md
index 56e6d5411eb..916d4d719e1 100644
--- a/docs/configs.md
+++ b/docs/configs.md
@@ -258,7 +258,7 @@ Name | SQL Function(s) | Description | Default Value | Notes
 <a name="sql.expression.Year"></a>spark.rapids.sql.expression.Year|`year`|Returns the year from a date or timestamp|true|None|
 <a name="sql.expression.AggregateExpression"></a>spark.rapids.sql.expression.AggregateExpression| |Aggregate expression|true|None|
 <a name="sql.expression.Average"></a>spark.rapids.sql.expression.Average|`avg`, `mean`|Average aggregate operator|true|None|
-<a name="sql.expression.CollectList"></a>spark.rapids.sql.expression.CollectList|`collect_list`|Collect a list of elements, now only supported by windowing.|false|This is disabled by default because for now the GPU collects null values to a list, but Spark does not. This will be fixed in future releases.|
+<a name="sql.expression.CollectList"></a>spark.rapids.sql.expression.CollectList|`collect_list`|Collect a list of elements, now only supported by windowing.|true|None|
 <a name="sql.expression.Count"></a>spark.rapids.sql.expression.Count|`count`|Count aggregate operator|true|None|
 <a name="sql.expression.First"></a>spark.rapids.sql.expression.First|`first_value`, `first`|first aggregate operator|true|None|
 <a name="sql.expression.Last"></a>spark.rapids.sql.expression.Last|`last`, `last_value`|last aggregate operator|true|None|
diff --git a/docs/supported_ops.md b/docs/supported_ops.md
index c112c80a359..65f70def15d 100644
--- a/docs/supported_ops.md
+++ b/docs/supported_ops.md
@@ -16435,7 +16435,7 @@ Accelerator support is described below.
 <td rowSpan="6">CollectList</td>
 <td rowSpan="6">`collect_list`</td>
 <td rowSpan="6">Collect a list of elements, now only supported by windowing.</td>
-<td rowSpan="6">This is disabled by default because for now the GPU collects null values to a list, but Spark does not. This will be fixed in future releases.</td>
+<td rowSpan="6">None</td>
 <td rowSpan="2">aggregation</td>
 <td>input</td>
 <td><b>NS</b></td>
diff --git a/integration_tests/src/main/python/window_function_test.py b/integration_tests/src/main/python/window_function_test.py
index ca6e05954b8..74eb6d00e3c 100644
--- a/integration_tests/src/main/python/window_function_test.py
+++ b/integration_tests/src/main/python/window_function_test.py
@@ -261,5 +261,4 @@ def test_window_aggs_for_rows_collect_list():
           collect_list(c_struct) over
             (partition by a order by b,c_int rows between CURRENT ROW and UNBOUNDED FOLLOWING) as collect_struct
         from window_collect_table
-        ''',
-        {'spark.rapids.sql.expression.CollectList': 'true'})
+        ''')
diff --git a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
index 2ab8d78a853..e7449807fb8 100644
--- a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
+++ b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
@@ -2416,8 +2416,7 @@ object GpuOverrides {
       (c, conf, p, r) => new ExprMeta[CollectList](c, conf, p, r) {
         override def convertToGpu(): GpuExpression = GpuCollectList(
           childExprs.head.convertToGpu(), c.mutableAggBufferOffset, c.inputAggBufferOffset)
-      }).disabledByDefault("for now the GPU collects null values to a list, but Spark does not." +
-      " This will be fixed in future releases."),
+      }),
     expr[ScalarSubquery](
       "Subquery that will return only one row and one column",
       ExprChecks.projectOnly(