diff --git a/concordia/language_model/gcloud_model.py b/concordia/language_model/gcloud_model.py
index d7d2db2b..9c118ffe 100644
--- a/concordia/language_model/gcloud_model.py
+++ b/concordia/language_model/gcloud_model.py
@@ -16,6 +16,7 @@
 from collections.abc import Collection, Sequence
 
 from concordia.language_model import language_model
+from concordia.utils import measurements as measurements_lib
 from concordia.utils import text
 from google import auth
 from typing_extensions import override
@@ -34,6 +35,8 @@ def __init__(
       model_name: str = 'text-bison@001',
       location: str = 'us-central1',
       credentials: auth.credentials.Credentials | None = None,
+      measurements: measurements_lib.Measurements | None = None,
+      channel: str = language_model.DEFAULT_STATS_CHANNEL,
   ) -> None:
     """Initializes a model instance using the Google Cloud language model API.
 
@@ -43,6 +46,8 @@ def __init__(
       location: The location to use when making API calls.
       credentials: Custom credentials to use when making API calls. If not
         provided credentials will be ascertained from the environment.
+      measurements: The measurements object to log usage statistics to.
+      channel: The channel to write the statistics to.
     """
     if credentials is None:
       credentials, _ = auth.default()
@@ -50,6 +55,8 @@ def __init__(
         project=project_id, location=location, credentials=credentials
     )
     self._model = vertex_models.TextGenerationModel.from_pretrained(model_name)
+    self._measurements = measurements
+    self._channel = channel
 
   @override
   def sample_text(
@@ -72,6 +79,10 @@ def sample_text(
         temperature=temperature,
         max_output_tokens=max_tokens,
     )
+    if self._measurements is not None:
+      self._measurements.publish_datum(
+          self._channel,
+          {'raw_text_length': len(sample)})
     return text.truncate(
         sample.text, max_length=max_characters, delimiters=terminators
     )
@@ -86,6 +97,7 @@ def sample_choice(
   ) -> tuple[int, str, dict[str, float]]:
     max_characters = max([len(response) for response in responses])
 
+    attempts = 1
     for _ in range(MAX_MULTIPLE_CHOICE_ATTEMPTS):
       sample = self.sample_text(
           prompt,
@@ -97,8 +109,13 @@ def sample_choice(
       try:
         idx = responses.index(sample)
       except ValueError:
+        attempts += 1
         continue
       else:
+        if self._measurements is not None:
+          self._measurements.publish_datum(
+              self._channel,
+              {'choices_calls': attempts})
         debug = {}
         return idx, responses[idx], debug
 
diff --git a/concordia/language_model/language_model.py b/concordia/language_model/language_model.py
index d2509ec0..9f86519c 100644
--- a/concordia/language_model/language_model.py
+++ b/concordia/language_model/language_model.py
@@ -26,6 +26,8 @@
 DEFAULT_MAX_CHARACTERS = sys.maxsize
 DEFAULT_MAX_TOKENS = 50
 
+DEFAULT_STATS_CHANNEL = 'language_model_stats'
+
 
 class InvalidResponseError(Exception):
   """Exception to throw when exceeding max attempts to get a choice."""