diff --git a/apps/howto_deploy/prepare_test_libs.py b/apps/howto_deploy/prepare_test_libs.py
index a6c7688d20846..8e9f8b5f7335c 100644
--- a/apps/howto_deploy/prepare_test_libs.py
+++ b/apps/howto_deploy/prepare_test_libs.py
@@ -33,7 +33,7 @@ def prepare_test_libs(base_path):
     fadd_dylib.export_library(dylib_path)
 
     # Compile library in system library mode
-    fadd_syslib = tvm.build(s, [A, B], "llvm --system-lib", name="addonesys")
+    fadd_syslib = tvm.build(s, [A, B], "llvm", name="addonesys")
     syslib_path = os.path.join(base_path, "test_addone_sys.o")
     fadd_syslib.save(syslib_path)
 
diff --git a/apps/sgx/src/build_model.py b/apps/sgx/src/build_model.py
index 1fc297d8a0942..5e4e37db69b8a 100755
--- a/apps/sgx/src/build_model.py
+++ b/apps/sgx/src/build_model.py
@@ -39,7 +39,7 @@ def main():
     )
 
     with tvm.transform.PassContext(opt_level=3):
-        graph, lib, params = relay.build(net, "llvm --system-lib", params=params)
+        graph, lib, params = relay.build(net, "llvm", params=params)
 
     build_dir = osp.abspath(sys.argv[1])
     if not osp.isdir(build_dir):
diff --git a/apps/wasm-standalone/wasm-graph/tools/build_graph_lib.py b/apps/wasm-standalone/wasm-graph/tools/build_graph_lib.py
index 9b262c398e00d..d647545afec54 100755
--- a/apps/wasm-standalone/wasm-graph/tools/build_graph_lib.py
+++ b/apps/wasm-standalone/wasm-graph/tools/build_graph_lib.py
@@ -72,7 +72,7 @@ def build_graph_lib(opt_level):
     shape_dict = {input_name: img_data.shape}
 
     mod, params = relay.frontend.from_onnx(onnx_model, shape_dict)
-    target = "llvm -mtriple=wasm32-unknown-unknown -mattr=+simd128 --system-lib"
+    target = "llvm -mtriple=wasm32-unknown-unknown -mattr=+simd128"
 
     with tvm.transform.PassContext(opt_level=opt_level):
         factory = relay.build(mod, target=target, params=params)
diff --git a/tests/python/driver/tvmc/test_target.py b/tests/python/driver/tvmc/test_target.py
index 4438ec437cb44..39e90e6d6ac48 100644
--- a/tests/python/driver/tvmc/test_target.py
+++ b/tests/python/driver/tvmc/test_target.py
@@ -114,9 +114,7 @@ def test_parse_multiple_target():
 
 def test_parse_hybrid_target():
     """Hybrid Target and external codegen"""
-    targets = parse_target(
-        "cmsis-nn -accelerator_config=ethos-u55-256, llvm -device=arm_cpu --system-lib"
-    )
+    targets = parse_target("cmsis-nn -accelerator_config=ethos-u55-256, llvm -device=arm_cpu")
 
     assert len(targets) == 2
     assert "cmsis-nn" == targets[0]["name"]
@@ -154,7 +152,7 @@ def test_parse_quotes_and_separators_on_options():
 
 
 def test_parse_multiple_target_with_opts_ethos_n78():
-    targets = parse_target("ethos-n -myopt=value, llvm -device=arm_cpu --system-lib")
+    targets = parse_target("ethos-n -myopt=value, llvm -device=arm_cpu")
 
     assert len(targets) == 2
     assert "ethos-n" == targets[0]["name"]
diff --git a/tests/python/driver/tvmc/test_target_options.py b/tests/python/driver/tvmc/test_target_options.py
index c73dc288cdd8f..891df86f0c1f1 100644
--- a/tests/python/driver/tvmc/test_target_options.py
+++ b/tests/python/driver/tvmc/test_target_options.py
@@ -86,7 +86,7 @@ def test_skip_target_from_codegen():
 def test_target_recombobulation_single():
     tvm_target, _ = target_from_cli("llvm", {"llvm": {"mcpu": "cortex-m3"}})
 
-    assert str(tvm_target) == "llvm -keys=arm_cpu,cpu -link-params=0 -mcpu=cortex-m3"
+    assert str(tvm_target) == "llvm -keys=arm_cpu,cpu -mcpu=cortex-m3"
 
 
 def test_target_recombobulation_many():
diff --git a/tests/python/relay/aot/test_cpp_aot.py b/tests/python/relay/aot/test_cpp_aot.py
index 3f641c9956521..4ffe302763f8a 100644
--- a/tests/python/relay/aot/test_cpp_aot.py
+++ b/tests/python/relay/aot/test_cpp_aot.py
@@ -169,7 +169,7 @@ def test_create_executor():
     x = tvm.relay.var("x", tvm.relay.TensorType([1], dtype="float32"))
     expr = tvm.relay.add(x, tvm.relay.Constant(tvm.nd.array(np.array([1], dtype="float32"))))
     actual = relay.create_executor(
-        "aot", mod=tvm.IRModule.from_expr(tvm.relay.Function([x], expr)), target="c -executor=aot"
+        "aot", mod=tvm.IRModule.from_expr(tvm.relay.Function([x], expr)), target="c"
     ).evaluate()(np.array([2], dtype="float32"))
 
     np.isfinite(np.array([3], dtype="float32"))
diff --git a/tests/python/relay/aot/test_crt_aot.py b/tests/python/relay/aot/test_crt_aot.py
index edf23ff227813..c3426f147e0d1 100644
--- a/tests/python/relay/aot/test_crt_aot.py
+++ b/tests/python/relay/aot/test_crt_aot.py
@@ -710,42 +710,6 @@ def test_name_sanitiser_name_clash():
         )
 
 
-# This tests for deprecated AOT executor arguments
-# TODO(Mousius) Remove deprecated arguments later
-def test_deprecated_target_arguments():
-    """Tests we can still use relay.build with -executor, -runtime and -link-params"""
-
-    interface_api = "c"
-    use_unpacked_api = True
-    test_runner = AOT_DEFAULT_RUNNER
-
-    input_x = relay.var("x", shape=(1, 10))
-    input_y = relay.var("y", shape=(1, 10))
-    func_add = relay.add(input_x, input_y)
-    func = relay.Function([input_x, input_y], func_add)
-
-    x_in = np.ones((1, 10)).astype("float32")
-    y_in = np.random.uniform(size=(1, 10)).astype("float32")
-
-    params = {"x": x_in}
-    inputs = {"y": y_in}
-    output_list = generate_ref_data(func, inputs, params)
-
-    compile_and_run(
-        AOTTestModel(
-            module=IRModule.from_expr(func),
-            inputs=inputs,
-            outputs=output_list,
-            params=params,
-        ),
-        test_runner,
-        interface_api,
-        use_unpacked_api,
-        use_runtime_executor=False,
-        target="c -executor=aot --link-params -runtime=c -interface-api=c --unpacked-api",
-    )
-
-
 def test_aot_codegen_backend_alloc_workspace_calls():
     """This test checks whether AoT lowering creates TVMBackendAllocWorkspace calls"""