diff --git a/bigframes/ml/llm.py b/bigframes/ml/llm.py
index eba15909b4..531a043c45 100644
--- a/bigframes/ml/llm.py
+++ b/bigframes/ml/llm.py
@@ -849,10 +849,14 @@ class Claude3TextGenerator(base.RetriableRemotePredictor):
 
         The models only available in specific regions. Check https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions for details.
 
+    .. note::
+
+        claude-3-sonnet model is deprecated. Use other models instead.
+
     Args:
         model_name (str, Default to "claude-3-sonnet"):
             The model for natural language tasks. Possible values are "claude-3-sonnet", "claude-3-haiku", "claude-3-5-sonnet" and "claude-3-opus".
-            "claude-3-sonnet" 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-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.
diff --git a/tests/system/load/test_llm.py b/tests/system/load/test_llm.py
index fc04956749..9630952e67 100644
--- a/tests/system/load/test_llm.py
+++ b/tests/system/load/test_llm.py
@@ -100,7 +100,7 @@ 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-sonnet", "claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_create_load(
@@ -125,7 +125,7 @@ def test_claude3_text_generator_create_load(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-sonnet", "claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_default_params_success(
@@ -144,7 +144,7 @@ def test_claude3_text_generator_predict_default_params_success(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-sonnet", "claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_with_params_success(
@@ -165,7 +165,7 @@ def test_claude3_text_generator_predict_with_params_success(
 
 @pytest.mark.parametrize(
     "model_name",
-    ("claude-3-sonnet", "claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
+    ("claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"),
 )
 @pytest.mark.flaky(retries=3, delay=120)
 def test_claude3_text_generator_predict_multi_col_success(