diff --git a/bigframes/ml/llm.py b/bigframes/ml/llm.py
index b670cabaea..e627e76d17 100644
--- a/bigframes/ml/llm.py
+++ b/bigframes/ml/llm.py
@@ -873,7 +873,7 @@ class Claude3TextGenerator(base.RetriableRemotePredictor):
             "claude-3-sonnet" (deprecated) is Anthropic's dependable combination of skills and speed. It is engineered to be dependable for scaled AI deployments across a variety of use cases.
             "claude-3-haiku" is Anthropic's fastest, most compact vision and text model for near-instant responses to simple queries, meant for seamless AI experiences mimicking human interactions.
             "claude-3-5-sonnet" is Anthropic's most powerful AI model and maintains the speed and cost of Claude 3 Sonnet, which is a mid-tier model.
-            "claude-3-opus" is Anthropic's second-most powerful AI model, with strong performance on highly complex tasks.
+            "claude-3-opus" (deprecated) is Anthropic's second-most powerful AI model, with strong performance on highly complex tasks.
             https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#available-claude-models
             If no setting is provided, "claude-3-sonnet" will be used by default
             and a warning will be issued.
diff --git a/tests/system/load/test_llm.py b/tests/system/load/test_llm.py
index 9630952e67..25cde92c13 100644
--- a/tests/system/load/test_llm.py
+++ b/tests/system/load/test_llm.py
@@ -100,13 +100,13 @@ def test_llm_gemini_w_ground_with_google_search(llm_remote_text_df):
 # (b/366290533): Claude models are of extremely low capacity. The tests should reside in small tests. Moving these here just to protect BQML's shared capacity(as load test only runs once per day.) and make sure we still have minimum coverage.
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_create_load(
     dataset_id, model_name, session, session_us_east5, bq_connection
 ):
-    if model_name in ("claude-3-5-sonnet", "claude-3-opus"):
+    if model_name in ("claude-3-5-sonnet",):
         session = session_us_east5
     claude3_text_generator_model = llm.Claude3TextGenerator(
         model_name=model_name, connection_name=bq_connection, session=session
@@ -125,13 +125,13 @@ def test_claude3_text_generator_create_load(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_default_params_success(
     llm_text_df, model_name, session, session_us_east5, bq_connection
 ):
-    if model_name in ("claude-3-5-sonnet", "claude-3-opus"):
+    if model_name in ("claude-3-5-sonnet",):
         session = session_us_east5
     claude3_text_generator_model = llm.Claude3TextGenerator(
         model_name=model_name, connection_name=bq_connection, session=session
@@ -144,13 +144,13 @@ def test_claude3_text_generator_predict_default_params_success(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_with_params_success(
     llm_text_df, model_name, session, session_us_east5, bq_connection
 ):
-    if model_name in ("claude-3-5-sonnet", "claude-3-opus"):
+    if model_name in ("claude-3-5-sonnet",):
         session = session_us_east5
     claude3_text_generator_model = llm.Claude3TextGenerator(
         model_name=model_name, connection_name=bq_connection, session=session
@@ -165,13 +165,13 @@ def test_claude3_text_generator_predict_with_params_success(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_multi_col_success(
     llm_text_df, model_name, session, session_us_east5, bq_connection
 ):
-    if model_name in ("claude-3-5-sonnet", "claude-3-opus"):
+    if model_name in ("claude-3-5-sonnet",):
         session = session_us_east5
 
     llm_text_df["additional_col"] = 1