diff --git a/message_ix_models/model/transport/operator.py b/message_ix_models/model/transport/operator.py
index aad1b7cb15..0be3b4f30c 100644
--- a/message_ix_models/model/transport/operator.py
+++ b/message_ix_models/model/transport/operator.py
@@ -28,10 +28,10 @@
 from genno.operator import apply_units, rename_dims
 from genno.testing import assert_qty_allclose, assert_units
 from scipy import integrate
-from sdmx.model.v21 import Code
+from sdmx.model.common import Code, Codelist
 
 from message_ix_models import ScenarioInfo
-from message_ix_models.model.structure import get_codelist, get_codes
+from message_ix_models.model.structure import get_codelist
 from message_ix_models.project.navigate import T35_POLICY
 from message_ix_models.report.operator import compound_growth
 from message_ix_models.report.util import as_quantity
@@ -59,6 +59,7 @@
     "base_model_data_header",
     "base_shares",
     "broadcast_advance",
+    "broadcast_t_c_l",
     "broadcast_y_yv_ya",
     "cost",
     "distance_ldv",
@@ -74,7 +75,6 @@
     "iea_eei_fv",
     "indexers_n_cd",
     "indexers_usage",
-    "input_commodity_level",
     "logit",
     "max",
     "maybe_select",
@@ -215,6 +215,53 @@ def broadcast_n(qty: "AnyQuantity", n: List[str], *, dim: str = "n") -> "AnyQuan
         return qty
 
 
+def broadcast_t_c_l(
+    technologies: List[Code],
+    commodities: List[Code],
+    kind: Literal["input", "output"],
+    default_level: Optional[str] = None,
+) -> "AnyQuantity":
+    """Return a Quantity for broadcasting dimension (t) to (c, l) for `kind`."""
+
+    # Convert a list of Codes into an SDMX Codelist for simpler usage
+    cl_commodity = Codelist(items={c.id: c for c in commodities})
+
+    # Map each `tech` to a `commodity` and `level`
+    data = []
+    for tech in technologies:
+        # Retrieve the "input" or "output" annotation for this technology
+        input_ = tech.eval_annotation(kind)
+        if input_ is None:
+            continue  # No I/O commodity for this technology → skip
+
+        # Retrieve the "commodity" key: either the ID of one commodity, or a sequence
+        commodity = input_.get("commodity", ())
+
+        # Iterate over 0 or more commodity IDs
+        for c_id in (commodity,) if isinstance(commodity, str) else commodity:
+            try:
+                # Retrieve the Code object for this commodity
+                c = cl_commodity[c_id]
+            except KeyError:
+                continue  # Unknown commodity
+
+            # Level, in order of precedence:
+            # 1. Technology-specific input level from `t_code`.
+            # 2. Default level for the commodity from `c_code`.
+            # 3. `default_level` argument to this function.
+            level = input_.get("level", None)
+            try:
+                level = level or str(c.get_annotation(id="level").text)
+            except KeyError:
+                level or default_level
+
+            data.append((tech.id, c, level))
+
+    idx = pd.MultiIndex.from_frame(pd.DataFrame(data, columns=["t", "c", "l"]))
+    s = pd.Series(1.0, index=idx)
+    return genno.Quantity(s)
+
+
 def broadcast_y_yv_ya(
     y: List[int], y_include: List[int], *, method: Literal["product", "zip"] = "product"
 ) -> "AnyQuantity":
@@ -624,46 +671,6 @@ def groups_y_annual(duration_period: "AnyQuantity") -> "AnyQuantity":
     return dict(y=result)
 
 
-def input_commodity_level(t: List[Code], default_level=None) -> "AnyQuantity":
-    """Return a Quantity for broadcasting dimension (t) to (c, l) for ``input``.
-
-    .. todo:: This essentially replaces :func:`.transport.util.input_commodity_level`,
-       and is much faster. Replace usage of the other function with this one, then
-       remove the other.
-    """
-
-    c_info = get_codes("commodity")
-
-    # Map each `tech` to a `commodity` and `level`
-    data = []
-    for tech in t:
-        # Retrieve the "input" annotation for this technology
-        input_ = tech.eval_annotation("input")
-
-        # Retrieve the code for this commodity
-        try:
-            # Commodity ID
-            commodity = input_["commodity"]
-            c_code = c_info[c_info.index(commodity)]
-        except (KeyError, ValueError, TypeError):
-            # TypeError: input_ is None
-            # KeyError: "commodity" not in the annotation
-            # ValueError: `commodity` not in c_info
-            continue
-
-        # Level, in order of precedence:
-        # 1. Technology-specific input level from `t_code`.
-        # 2. Default level for the commodity from `c_code`.
-        # 3. `default_level` argument to this function.
-        level = input_.get("level") or c_code.eval_annotation("level") or default_level
-
-        data.append((tech.id, commodity, level))
-
-    idx = pd.MultiIndex.from_frame(pd.DataFrame(data, columns=["t", "c", "l"]))
-    s = pd.Series(1.0, index=idx)
-    return genno.Quantity(s)
-
-
 def logit(
     x: "AnyQuantity", k: "AnyQuantity", lamda: "AnyQuantity", y: List[int], dim: str
 ) -> "AnyQuantity":