diff --git a/src/lightning_lite/cli.py b/src/lightning_lite/cli.py
index 6d18d52789..6359cba468 100644
--- a/src/lightning_lite/cli.py
+++ b/src/lightning_lite/cli.py
@@ -20,7 +20,6 @@ from lightning_utilities.core.imports import RequirementCache
 
 from lightning_lite.accelerators import CPUAccelerator, CUDAAccelerator, MPSAccelerator
 from lightning_lite.utilities.device_parser import _parse_gpu_ids
-from lightning_lite.utilities.imports import _IS_WINDOWS, _TORCH_GREATER_EQUAL_1_13
 
 _log = logging.getLogger(__name__)
 
@@ -148,15 +147,6 @@ def _get_num_processes(accelerator: str, devices: str) -> int:
 
 def _torchrun_launch(args: Namespace, script_args: List[str]) -> None:
     """This will invoke `torchrun` programmatically to launch the given script in new processes."""
-
-    if _IS_WINDOWS and _TORCH_GREATER_EQUAL_1_13:  # pragma: no cover
-        # TODO: remove once import issue is resolved: https://github.com/pytorch/pytorch/issues/85427
-        _log.error(
-            "On the Windows platform, this launcher is currently only supported on torch < 1.13 due to a bug"
-            " upstream: https://github.com/pytorch/pytorch/issues/85427"
-        )
-        raise SystemExit(1)
-
     import torch.distributed.run as torchrun
 
     if args.strategy == "dp":
diff --git a/tests/tests_lite/test_cli.py b/tests/tests_lite/test_cli.py
index ad8d0ddd32..403d4a8e2f 100644
--- a/tests/tests_lite/test_cli.py
+++ b/tests/tests_lite/test_cli.py
@@ -16,21 +16,10 @@ from unittest import mock
 from unittest.mock import Mock
 
 import pytest
+import torch.distributed.run
 from tests_lite.helpers.runif import RunIf
 
 from lightning_lite.cli import _run_model
-from lightning_lite.utilities.imports import _IS_WINDOWS, _TORCH_GREATER_EQUAL_1_13
-
-if not (_IS_WINDOWS and _TORCH_GREATER_EQUAL_1_13):
-    import torch.distributed.run
-
-
-def skip_windows_pt_1_13():
-    # https://github.com/pytorch/pytorch/issues/85427
-    return pytest.mark.skipif(
-        condition=(_IS_WINDOWS and _TORCH_GREATER_EQUAL_1_13),
-        reason="Torchelastic import bug in 1.13 affecting Windows",
-    )
 
 
 @pytest.fixture
@@ -40,7 +29,6 @@ def fake_script(tmp_path):
     return str(script)
 
 
-@skip_windows_pt_1_13()
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 def test_cli_env_vars_defaults(monkeypatch, fake_script):
     monkeypatch.setattr(torch.distributed, "run", Mock())
@@ -55,7 +43,6 @@ def test_cli_env_vars_defaults(monkeypatch, fake_script):
     assert os.environ["LT_PRECISION"] == "32"
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("accelerator", ["cpu", "gpu", "cuda", pytest.param("mps", marks=RunIf(mps=True))])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 @mock.patch("lightning_lite.accelerators.cuda.num_cuda_devices", return_value=2)
@@ -67,7 +54,6 @@ def test_cli_env_vars_accelerator(_, accelerator, monkeypatch, fake_script):
     assert os.environ["LT_ACCELERATOR"] == accelerator
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("strategy", ["dp", "ddp", "deepspeed"])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 @mock.patch("lightning_lite.accelerators.cuda.num_cuda_devices", return_value=2)
@@ -79,7 +65,6 @@ def test_cli_env_vars_strategy(_, strategy, monkeypatch, fake_script):
     assert os.environ["LT_STRATEGY"] == strategy
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("devices", ["1", "2", "0,", "1,0", "-1"])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 @mock.patch("lightning_lite.accelerators.cuda.num_cuda_devices", return_value=2)
@@ -92,7 +77,6 @@ def test_cli_env_vars_devices_cuda(_, devices, monkeypatch, fake_script):
 
 
 @RunIf(mps=True)
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("accelerator", ["mps", "gpu"])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 def test_cli_env_vars_devices_mps(accelerator, monkeypatch, fake_script):
@@ -103,7 +87,6 @@ def test_cli_env_vars_devices_mps(accelerator, monkeypatch, fake_script):
     assert os.environ["LT_DEVICES"] == "1"
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("num_nodes", ["1", "2", "3"])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 def test_cli_env_vars_num_nodes(num_nodes, monkeypatch, fake_script):
@@ -114,7 +97,6 @@ def test_cli_env_vars_num_nodes(num_nodes, monkeypatch, fake_script):
     assert os.environ["LT_NUM_NODES"] == num_nodes
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize("precision", ["64", "32", "16", "bf16"])
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 def test_cli_env_vars_precision(precision, monkeypatch, fake_script):
@@ -125,7 +107,6 @@ def test_cli_env_vars_precision(precision, monkeypatch, fake_script):
     assert os.environ["LT_PRECISION"] == precision
 
 
-@skip_windows_pt_1_13()
 @mock.patch.dict(os.environ, os.environ.copy(), clear=True)
 def test_cli_torchrun_defaults(monkeypatch, fake_script):
     torchrun_mock = Mock()
@@ -145,7 +126,6 @@ def test_cli_torchrun_defaults(monkeypatch, fake_script):
     )
 
 
-@skip_windows_pt_1_13()
 @pytest.mark.parametrize(
     "devices,expected",
     [