diff --git a/ax/storage/botorch_modular_registry.py b/ax/storage/botorch_modular_registry.py
index 4dba5039f44..6cea569550c 100644
--- a/ax/storage/botorch_modular_registry.py
+++ b/ax/storage/botorch_modular_registry.py
@@ -88,6 +88,7 @@
     InputPerturbation,
     InputTransform,
     LearnedFeatureImputation,
+    Log10,
     Normalize,
     Round,
     Warp,
@@ -219,6 +220,7 @@
 INPUT_TRANSFORM_REGISTRY: dict[type[InputTransform], str] = {
     ChainedInputTransform: "ChainedInputTransform",
     LearnedFeatureImputation: "LearnedFeatureImputation",
+    Log10: "Log10",
     Normalize: "Normalize",
     Round: "Round",
     Warp: "Warp",
diff --git a/ax/storage/json_store/tests/test_json_store.py b/ax/storage/json_store/tests/test_json_store.py
index 70928b484d4..9e3f11b9238 100644
--- a/ax/storage/json_store/tests/test_json_store.py
+++ b/ax/storage/json_store/tests/test_json_store.py
@@ -197,7 +197,7 @@
     AdditiveMapSaasSingleTaskGP,
     EnsembleMapSaasSingleTaskGP,
 )
-from botorch.models.transforms.input import Normalize
+from botorch.models.transforms.input import Log10, Normalize
 from botorch.models.transforms.outcome import Standardize
 from botorch.sampling.normal import SobolQMCNormalSampler
 from gpytorch.mlls.exact_marginal_log_likelihood import ExactMarginalLogLikelihood
@@ -653,6 +653,14 @@ def test_EncodeDecode(self) -> None:
                 else:
                     raise e
 
+    def test_model_config_with_log10_roundtrip(self) -> None:
+        config = ModelConfig(
+            input_transform_classes=[Log10],
+            input_transform_options={"Log10": {"indices": [1]}},
+        )
+        decoded = object_from_json(json.loads(json.dumps(object_to_json(config))))
+        self.assertEqual(decoded, config)
+
     def test_EncodeDecode_dataclass_with_initvar(self) -> None:
         @dataclasses.dataclass
         class TestDataclass: