diff --git a/airflow/models/taskinstance.py b/airflow/models/taskinstance.py
index 2c1f52fc40296..f84f898f3384c 100644
--- a/airflow/models/taskinstance.py
+++ b/airflow/models/taskinstance.py
@@ -247,7 +247,7 @@ def _run_raw_task(
     ti.hostname = get_hostname()
     ti.pid = os.getpid()
     if not test_mode:
-        TaskInstance.save_to_db(ti=ti, session=session)
+        TaskInstance.save_to_db(ti=ti, session=session, refresh_dag=False)
     actual_start_date = timezone.utcnow()
     Stats.incr(f"ti.start.{ti.task.dag_id}.{ti.task.task_id}", tags=ti.stats_tags)
     # Same metric with tagging
@@ -1241,7 +1241,7 @@ def _handle_failure(
         )
 
     if not test_mode:
-        TaskInstance.save_to_db(failure_context["ti"], session)
+        TaskInstance.save_to_db(task_instance, session)
 
     with Trace.start_span_from_taskinstance(ti=task_instance) as span:
         # ---- error info ----
@@ -3395,7 +3395,11 @@ def fetch_handle_failure_context(
     @staticmethod
     @internal_api_call
     @provide_session
-    def save_to_db(ti: TaskInstance | TaskInstancePydantic, session: Session = NEW_SESSION):
+    def save_to_db(
+        ti: TaskInstance | TaskInstancePydantic, session: Session = NEW_SESSION, refresh_dag: bool = True
+    ):
+        if refresh_dag and isinstance(ti, TaskInstance):
+            ti.get_dagrun().refresh_from_db()
         ti = _coalesce_to_orm_ti(ti=ti, session=session)
         ti.updated_at = timezone.utcnow()
         session.merge(ti)
diff --git a/tests/models/test_taskinstance.py b/tests/models/test_taskinstance.py
index 9b7b5d957122d..bb877704339cb 100644
--- a/tests/models/test_taskinstance.py
+++ b/tests/models/test_taskinstance.py
@@ -26,6 +26,7 @@
 import pickle
 import signal
 import sys
+import time
 import urllib
 from traceback import format_exception
 from typing import cast
@@ -34,6 +35,7 @@
 from uuid import uuid4
 
 import pendulum
+import psutil
 import pytest
 import time_machine
 from sqlalchemy import select
@@ -83,7 +85,7 @@
 from airflow.sensors.base import BaseSensorOperator
 from airflow.sensors.python import PythonSensor
 from airflow.serialization.serialized_objects import SerializedBaseOperator, SerializedDAG
-from airflow.settings import TIMEZONE, TracebackSessionForTests
+from airflow.settings import TIMEZONE, TracebackSessionForTests, reconfigure_orm
 from airflow.stats import Stats
 from airflow.ti_deps.dep_context import DepContext
 from airflow.ti_deps.dependencies_deps import REQUEUEABLE_DEPS, RUNNING_DEPS
@@ -3587,6 +3589,43 @@ def test_handle_failure(self, create_dummy_dag, session=None):
         assert "task_instance" in context_arg_3
         mock_on_retry_3.assert_not_called()
 
+    @provide_session
+    def test_handle_failure_does_not_push_stale_dagrun_model(self, dag_maker, create_dummy_dag, session=None):
+        session = settings.Session()
+        with dag_maker():
+
+            def method(): ...
+
+            task = PythonOperator(task_id="mytask", python_callable=method)
+        dr = dag_maker.create_dagrun()
+        ti = dr.get_task_instance(task.task_id)
+        ti.state = State.RUNNING
+
+        assert dr.state == DagRunState.RUNNING
+
+        session.merge(ti)
+        session.flush()
+        session.commit()
+
+        pid = os.fork()
+        if pid:
+            process = psutil.Process(pid)
+            time.sleep(1)
+
+            dr.state = DagRunState.SUCCESS
+            session.merge(dr)
+            session.flush()
+            session.commit()
+            process.wait(timeout=7)
+        else:
+            reconfigure_orm(disable_connection_pool=True)
+            time.sleep(2)
+            ti.handle_failure("should not update related models")
+            os._exit(0)
+
+        dr.refresh_from_db()
+        assert dr.state == DagRunState.SUCCESS
+
     @pytest.mark.skip_if_database_isolation_mode  # Does not work in db isolation mode
     def test_handle_failure_updates_queued_task_updates_state(self, dag_maker):
         session = settings.Session()