diff --git a/tests/local_testing/test_caching.py b/tests/local_testing/test_caching.py
index 39019ef35a..8bd73af609 100644
--- a/tests/local_testing/test_caching.py
+++ b/tests/local_testing/test_caching.py
@@ -325,7 +325,7 @@ def test_caching_with_models_v2():
     litellm.set_verbose = True
     response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
     response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
-    response3 = completion(model="azure/chatgpt-v-3", messages=messages, caching=True)
+    response3 = completion(model="gpt-4.1-nano", messages=messages, caching=True)
     print(f"response1: {response1}")
     print(f"response2: {response2}")
     print(f"response3: {response3}")
@@ -527,7 +527,7 @@ def test_embedding_caching_azure():
     print(api_key)
     print(api_base)
     embedding1 = embedding(
-        model="azure/azure-embedding-model",
+        model="text-embedding-ada-002",
         input=["good morning from litellm", "this is another item"],
         api_key=api_key,
         api_base=api_base,
@@ -540,7 +540,7 @@ def test_embedding_caching_azure():
     time.sleep(1)
     start_time = time.time()
     embedding2 = embedding(
-        model="azure/azure-embedding-model",
+        model="text-embedding-ada-002",
         input=["good morning from litellm", "this is another item"],
         api_key=api_key,
         api_base=api_base,
@@ -595,10 +595,10 @@ async def test_embedding_caching_azure_individual_items():
     ]
 
     embedding_val_1 = await aembedding(
-        model="azure/azure-embedding-model", input=embedding_1, caching=True
+        model="text-embedding-ada-002", input=embedding_1, caching=True
     )
     embedding_val_2 = await aembedding(
-        model="azure/azure-embedding-model", input=embedding_2, caching=True
+        model="text-embedding-ada-002", input=embedding_2, caching=True
     )
     print(f"embedding_val_2._hidden_params: {embedding_val_2._hidden_params}")
     assert embedding_val_2._hidden_params["cache_hit"] == True
@@ -633,11 +633,11 @@ async def test_embedding_caching_azure_individual_items_reordered():
     ]
 
     embedding_val_1 = await aembedding(
-        model="azure/azure-embedding-model", input=embedding_1, caching=True
+        model="text-embedding-ada-002", input=embedding_1, caching=True
     )
     print("embedding val 1", embedding_val_1)
     embedding_val_2 = await aembedding(
-        model="azure/azure-embedding-model", input=embedding_2, caching=True
+        model="text-embedding-ada-002", input=embedding_2, caching=True
     )
     print("embedding val 2", embedding_val_2)
     print(f"embedding_val_2._hidden_params: {embedding_val_2._hidden_params}")
@@ -667,7 +667,7 @@ async def test_embedding_caching_base_64():
     ]
 
     embedding_val_1 = await aembedding(
-        model="azure/azure-embedding-model",
+        model="text-embedding-ada-002",
         input=inputs,
         caching=True,
         encoding_format="base64",
@@ -675,7 +675,7 @@ async def test_embedding_caching_base_64():
     await asyncio.sleep(5)
     print("\n\nCALL2\n\n")
     embedding_val_2 = await aembedding(
-        model="azure/azure-embedding-model",
+        model="text-embedding-ada-002",
         input=inputs,
         caching=True,
         encoding_format="base64",
@@ -718,7 +718,7 @@ async def test_embedding_caching_redis_ttl():
 
         # Call the embedding method
         embedding_val_1 = await litellm.aembedding(
-            model="azure/azure-embedding-model",
+            model="text-embedding-ada-002",
             input=inputs,
             encoding_format="base64",
         )
@@ -1226,7 +1226,7 @@ async def test_s3_cache_stream_azure(sync_mode):
 
         if sync_mode:
             response1 = litellm.completion(
-                model="azure/chatgpt-v-3",
+                model="azure/gpt-4.1-nano",
                 messages=messages,
                 max_tokens=40,
                 temperature=1,
@@ -1239,7 +1239,7 @@ async def test_s3_cache_stream_azure(sync_mode):
             print(response_1_content)
         else:
             response1 = await litellm.acompletion(
-                model="azure/chatgpt-v-3",
+                model="azure/gpt-4.1-nano",
                 messages=messages,
                 max_tokens=40,
                 temperature=1,
@@ -1259,7 +1259,7 @@ async def test_s3_cache_stream_azure(sync_mode):
 
         if sync_mode:
             response2 = litellm.completion(
-                model="azure/chatgpt-v-3",
+                model="azure/gpt-4.1-nano",
                 messages=messages,
                 max_tokens=40,
                 temperature=1,
@@ -1272,7 +1272,7 @@ async def test_s3_cache_stream_azure(sync_mode):
             print(response_2_content)
         else:
             response2 = await litellm.acompletion(
-                model="azure/chatgpt-v-3",
+                model="azure/gpt-4.1-nano",
                 messages=messages,
                 max_tokens=40,
                 temperature=1,
@@ -1335,7 +1335,7 @@ async def test_s3_cache_acompletion_azure():
         print("s3 Cache: test for caching, streaming + completion")
 
         response1 = await litellm.acompletion(
-            model="azure/chatgpt-v-3",
+            model="azure/gpt-4.1-nano",
             messages=messages,
             max_tokens=40,
             temperature=1,
@@ -1345,7 +1345,7 @@ async def test_s3_cache_acompletion_azure():
         time.sleep(2)
 
         response2 = await litellm.acompletion(
-            model="azure/chatgpt-v-3",
+            model="azure/gpt-4.1-nano",
             messages=messages,
             max_tokens=40,
             temperature=1,