diff --git a/python/tvm/relay/frontend/keras.py b/python/tvm/relay/frontend/keras.py
index e89c0a3c03a9..21862089944e 100644
--- a/python/tvm/relay/frontend/keras.py
+++ b/python/tvm/relay/frontend/keras.py
@@ -967,7 +967,7 @@ def _convert_concat(
         if axis == -1:
             axis = 1
         else:
-            axis = axis + 1 if axis < dims else 1
+            axis = axis + 1 if axis < (dims - 1) else 1
     return _op.concatenate(_as_list(inexpr), axis=axis)
 
 
diff --git a/tests/python/frontend/keras/test_forward.py b/tests/python/frontend/keras/test_forward.py
index 8c5b578060a4..aef137e634a7 100644
--- a/tests/python/frontend/keras/test_forward.py
+++ b/tests/python/frontend/keras/test_forward.py
@@ -177,6 +177,14 @@ def test_forward_concatenate(self, keras_mod):
         keras_model = keras_mod.models.Model([data1, data2], out)
         verify_keras_frontend(keras_model, layout="NHWC")
         verify_keras_frontend(keras_model, layout="NCHW")
+        # test axis at last dimension
+        data1 = keras_mod.layers.Input(shape=(1, 2, 2))
+        data2 = keras_mod.layers.Input(shape=(1, 2, 3))
+        merge_func = keras_mod.layers.Concatenate(axis=3)
+        out = merge_func([data1, data2])
+        keras_model = keras_mod.models.Model([data1, data2], out)
+        verify_keras_frontend(keras_model, layout="NHWC")
+        verify_keras_frontend(keras_model, layout="NCHW")
 
     def test_forward_merge_dot(self, keras_mod):
         """test_forward_merge_dot"""
@@ -643,6 +651,20 @@ def test_forward_resnet50(self, keras_mod, layout="NCHW"):
         )
         verify_keras_frontend(keras_model, layout=layout)
 
+    def test_forward_inception_v3(self, keras_mod, layout="NCHW"):
+        """test_forward_inception_v3"""
+        if hasattr(keras_mod.applications, "InceptionV3"):
+            # Keras 2.4.x and older
+            inception_v3_mod = keras_mod.applications.InceptionV3
+        else:
+            # Keras 2.6.x and newer
+            inception_v3_mod = keras_mod.applications.inception_v3.InceptionV3
+
+        keras_model = inception_v3_mod(
+            include_top=True, weights=None, input_shape=(299, 299, 3), classes=1000
+        )
+        verify_keras_frontend(keras_model, layout=layout)
+
     def test_forward_mobilenet(self, keras_mod, layout="NCHW"):
         mobilenet_mod = get_mobilenet(keras_mod)
 
@@ -877,6 +899,8 @@ def test_simplernn_with_infertype(self, keras_mod):
         sut.test_forward_xception(keras_mod=k)
         sut.test_forward_resnet50(keras_mod=k)
         sut.test_forward_resnet50(keras_mod=k, layout="NHWC")
+        sut.test_forward_inception_v3(keras_mod=k)
+        sut.test_forward_inception_v3(keras_mod=k, layout="NHWC")
         sut.test_forward_mobilenet(keras_mod=k)
         sut.test_forward_mobilenet(keras_mod=k, layout="NHWC")
         sut.test_forward_conv3d(keras_mod=k)