diff --git a/great_ai/helper/freeze_arguments.py b/great_ai/helper/freeze_arguments.py
index 524906f..3085394 100644
--- a/great_ai/helper/freeze_arguments.py
+++ b/great_ai/helper/freeze_arguments.py
@@ -68,6 +68,12 @@ def freeze(value: Union[Sequence[Any], Mapping[str, Any], Set[Any], BaseModel])
     if isinstance(value, set):
         return FrozenSet(value)
 
+    if isinstance(value, tuple):
+        values = tuple(freeze(item) for item in value)
+        if hasattr(type(value), "_fields"):  # preserve named-tuple argument types
+            return type(value)(*values)
+        return values
+
     if isinstance(value, BaseModel):
         # Keep the already-validated values, aliases, nested types and private
         # attributes. Reconstructing from model_dump() runs validators again.
diff --git a/tests/test_cache_regressions.py b/tests/test_cache_regressions.py
new file mode 100644
index 0000000..4edfa5c
--- /dev/null
+++ b/tests/test_cache_regressions.py
@@ -0,0 +1,17 @@
+from typing import Dict, Tuple
+
+from great_ai import GreatAI
+
+
+def test_nested_tuple_inputs_can_be_cached(isolated_context: None) -> None:
+    calls = 0
+
+    @GreatAI.create
+    def predict(value: Tuple[Dict[str, int]]) -> int:
+        nonlocal calls
+        calls += 1
+        return value[0]["x"]
+
+    assert predict(({"x": 7},)).output == 7
+    assert predict(({"x": 7},)).output == 7
+    assert calls == 1