diff --git a/docs/my-website/docs/observability/agentops_integration.md b/docs/my-website/docs/observability/agentops_integration.md
index e0599fab701..528a287582f 100644
--- a/docs/my-website/docs/observability/agentops_integration.md
+++ b/docs/my-website/docs/observability/agentops_integration.md
@@ -25,7 +25,7 @@ litellm.success_callback = ["agentops"]
 
 # Make your LLM calls as usual
 response = litellm.completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages=[{"role": "user", "content": "Hello, how are you?"}],
 )
 ```
diff --git a/docs/my-website/docs/observability/arize_integration.md b/docs/my-website/docs/observability/arize_integration.md
index b3ccf98ea3b..98a9cb3b2fc 100644
--- a/docs/my-website/docs/observability/arize_integration.md
+++ b/docs/my-website/docs/observability/arize_integration.md
@@ -39,7 +39,7 @@ litellm.callbacks = ["arize"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
@@ -108,7 +108,7 @@ litellm.callbacks = ["arize"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
@@ -170,7 +170,7 @@ client = openai.OpenAI(
 
 # request sent to model set on litellm proxy, `litellm --model`
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages = [
         {
             "role": "user",
diff --git a/docs/my-website/docs/observability/athina_integration.md b/docs/my-website/docs/observability/athina_integration.md
index ba93ea4c980..2812540bcca 100644
--- a/docs/my-website/docs/observability/athina_integration.md
+++ b/docs/my-website/docs/observability/athina_integration.md
@@ -45,7 +45,7 @@ litellm.success_callback = ["athina"]
 
 #openai call
 response = completion(
-  model="gpt-3.5-turbo", 
+  model="gpt-4o", 
   messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]
 ) 
 ```
@@ -56,7 +56,7 @@ You can send some additional information to Athina by using the `metadata` field
 ```python
 #openai call with additional metadata
 response = completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
diff --git a/docs/my-website/docs/observability/braintrust.md b/docs/my-website/docs/observability/braintrust.md
index 645ce074ca5..eb2f28f8720 100644
--- a/docs/my-website/docs/observability/braintrust.md
+++ b/docs/my-website/docs/observability/braintrust.md
@@ -23,7 +23,7 @@ litellm.callbacks = ["braintrust"]
 
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
@@ -43,9 +43,9 @@ BRAINTRUST_API_BASE="https://api.braintrustdata.com/v1"
 
 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
       api_key: os.environ/OPENAI_API_KEY
 
 litellm_settings:
@@ -86,7 +86,7 @@ You can customize the span id, root span name and span parents in Braintrust log
 
 ```python
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
@@ -105,7 +105,7 @@ Note: Other `metadata` can be included here as well when using the SDK.
 
 ```python
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
@@ -151,7 +151,7 @@ client = openai.OpenAI(
 
 # request sent to model set on litellm proxy, `litellm --model`
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages = [
         {
             "role": "user",
diff --git a/docs/my-website/docs/observability/custom_callback.md b/docs/my-website/docs/observability/custom_callback.md
index ae892621270..dc8bfb01a47 100644
--- a/docs/my-website/docs/observability/custom_callback.md
+++ b/docs/my-website/docs/observability/custom_callback.md
@@ -39,7 +39,7 @@ customHandler = MyCustomHandler()
 litellm.callbacks = [customHandler]
 
 ## sync 
-response = completion(model="gpt-3.5-turbo", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
+response = completion(model="gpt-4o", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
                               stream=True)
 for chunk in response: 
     continue
@@ -49,7 +49,7 @@ for chunk in response:
 import asyncio 
 
 def async completion():
-    response = await acompletion(model="gpt-3.5-turbo", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
+    response = await acompletion(model="gpt-4o", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
                               stream=True)
     async for chunk in response: 
         continue
@@ -125,7 +125,7 @@ from litellm import completion
 litellm.success_callback = [custom_callback]
 
 response = completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages=[
         {
             "role": "user",
@@ -163,7 +163,7 @@ customHandler = MyCustomHandler()
 litellm.callbacks = [customHandler]
 
 def async completion():
-    response = await acompletion(model="gpt-3.5-turbo", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
+    response = await acompletion(model="gpt-4o", messages=[{ "role": "user", "content": "Hi 👋 - i'm openai"}],
                               stream=True)
     async for chunk in response: 
         continue
@@ -186,7 +186,7 @@ async def test_chat_openai():
     try:
         # litellm.set_verbose = True
         litellm.success_callback = [async_test_logging_fn]
-        response = await litellm.acompletion(model="gpt-3.5-turbo",
+        response = await litellm.acompletion(model="gpt-4o",
                               messages=[{
                                   "role": "user",
                                   "content": "Hi 👋 - i'm openai"
@@ -238,7 +238,7 @@ def track_cost_callback(kwargs, completion_response, start_time, end_time):
 
 litellm.success_callback = [track_cost_callback]
 
-response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello"}])
+response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hello"}])
 ```
 
 ### Log Inputs to LLMs
diff --git a/docs/my-website/docs/observability/datadog.md b/docs/my-website/docs/observability/datadog.md
index e83cfcbafe0..fc02bd45a34 100644
--- a/docs/my-website/docs/observability/datadog.md
+++ b/docs/my-website/docs/observability/datadog.md
@@ -26,9 +26,9 @@ We will use the `--config` to set `litellm.callbacks = ["datadog"]` this will lo
 
 ```yaml
 model_list:
- - model_name: gpt-3.5-turbo
+ - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
 litellm_settings:
   callbacks: ["datadog"] # logs llm success + failure logs on datadog
   service_callback: ["datadog"] # logs redis, postgres failures on datadog
@@ -47,9 +47,9 @@ litellm_settings:
 
 ```yaml
 model_list:
- - model_name: gpt-3.5-turbo
+ - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
 litellm_settings:
   callbacks: ["datadog_llm_observability"] # logs llm success logs on datadog
 ```
@@ -103,7 +103,7 @@ Test Request
 curl --location 'http://0.0.0.0:4000/chat/completions' \
     --header 'Content-Type: application/json' \
     --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
     "messages": [
         {
         "role": "user",
@@ -131,9 +131,9 @@ When redaction is enabled, the actual message content and response text will be
 
 ```yaml showLineNumbers title="config.yaml"
 model_list:
- - model_name: gpt-3.5-turbo
+ - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
 litellm_settings:
   callbacks: ["datadog_llm_observability"] # logs llm success logs on datadog
 
@@ -148,7 +148,7 @@ litellm_settings:
 curl --location 'http://0.0.0.0:4000/chat/completions' \
     --header 'Content-Type: application/json' \
     --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
     "messages": [
         {
         "role": "user",
@@ -193,9 +193,9 @@ All metrics include the following tags: `env`, `service`, `version`, `HOSTNAME`,
 
 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
 litellm_settings:
   success_callback: ["datadog_metrics"]
   failure_callback: ["datadog_metrics"]
@@ -219,7 +219,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
     --header 'Content-Type: application/json' \
     --header 'Authorization: Bearer sk-1234' \
     --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
     "messages": [{"role": "user", "content": "hello"}]
 }'
 ```
@@ -242,9 +242,9 @@ We will use the `--config` to set `litellm.callbacks = ["datadog_cost_management
 
 ```yaml
 model_list:
- - model_name: gpt-3.5-turbo
+ - model_name: gpt-4o
     litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
 litellm_settings:
   callbacks: ["datadog_cost_management"]
 ```
diff --git a/docs/my-website/docs/observability/deepeval_integration.md b/docs/my-website/docs/observability/deepeval_integration.md
index 8af3278e8c6..5d2dde661bb 100644
--- a/docs/my-website/docs/observability/deepeval_integration.md
+++ b/docs/my-website/docs/observability/deepeval_integration.md
@@ -33,7 +33,7 @@ litellm.failure_callback = ["deepeval"]
 
 try:
     response = litellm.completion(
-        model="gpt-3.5-turbo",
+        model="gpt-4o",
         messages=[
             {"role": "user", "content": "What's the weather like in San Francisco?"}
         ],
diff --git a/docs/my-website/docs/observability/helicone_integration.md b/docs/my-website/docs/observability/helicone_integration.md
index 92d0f5c3ebf..512647a3765 100644
--- a/docs/my-website/docs/observability/helicone_integration.md
+++ b/docs/my-website/docs/observability/helicone_integration.md
@@ -127,7 +127,7 @@ Helicone's AI Gateway provides [advanced functionality](https://docs.helicone.ai
       "Helicone-Retry-Enabled": "true",  # Enable retry mechanism
       "helicone-retry-num": "3",  # Set number of retries
       "helicone-retry-factor": "2",  # Set exponential backoff factor
-      "Helicone-Model-Override": "gpt-3.5-turbo-0613",  # Override the model used for cost calculation
+      "Helicone-Model-Override": "gpt-4o-0613",  # Override the model used for cost calculation
       "Helicone-Session-Id": "session-abc-123",  # Set session ID for tracking
       "Helicone-Session-Path": "parent-trace/child-trace",  # Set session path for hierarchical tracking
       "Helicone-Omit-Response": "false",  # Include response in logging (default behavior)
@@ -333,7 +333,7 @@ Track multi-step and agentic LLM interactions using session IDs and paths:
       Helicone-Retry-Enabled: "true"
       helicone-retry-num: "3"
       helicone-retry-factor: "2"
-      Helicone-Fallbacks: '["gpt-3.5-turbo", "gpt-4"]'
+      Helicone-Fallbacks: '["gpt-4o", "gpt-4"]'
 
   environment_variables:
     HELICONE_API_KEY: "your-helicone-key"
diff --git a/docs/my-website/docs/observability/langfuse_integration.md b/docs/my-website/docs/observability/langfuse_integration.md
index d3c5a44d481..ca421fb7f9c 100644
--- a/docs/my-website/docs/observability/langfuse_integration.md
+++ b/docs/my-website/docs/observability/langfuse_integration.md
@@ -62,7 +62,7 @@ litellm.success_callback = ["langfuse"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
@@ -93,7 +93,7 @@ litellm.success_callback = ["langfuse"]
  
 # openai call
 response = completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
@@ -129,7 +129,7 @@ litellm.success_callback = ["langfuse"]
 
 # set custom langfuse trace params and generation params
 response = completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ],
@@ -170,7 +170,7 @@ curl --location --request POST 'http://0.0.0.0:4000/chat/completions' \
     --header 'langfuse_trace_user_id: user-id2' \
     --header 'langfuse_trace_metadata: {"key":"value"}' \
     --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
     "messages": [
         {
         "role": "user",
@@ -234,7 +234,7 @@ litellm.failure_callback = ["langfuse"]
 
 # Request 1 → Langfuse Project A
 response_a = completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages=[{"role": "user", "content": "Hello from team A"}],
     langfuse_public_key="pk-lf-project-a...",
     langfuse_secret_key="sk-lf-project-a...",
@@ -243,7 +243,7 @@ response_a = completion(
 
 # Request 2 → Langfuse Project B (different project)
 response_b = completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages=[{"role": "user", "content": "Hello from team B"}],
     langfuse_public_key="pk-lf-project-b...",
     langfuse_secret_key="sk-lf-project-b...",
@@ -261,7 +261,7 @@ litellm.success_callback = ["langfuse"]
 litellm.failure_callback = ["langfuse"]
 
 response = await acompletion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
     messages=[{"role": "user", "content": "Hi"}],
     langfuse_public_key="pk-lf-...",
     langfuse_secret_key="sk-lf-...",
@@ -300,7 +300,7 @@ os.environ['OPENAI_API_KEY']="sk-..."
 litellm.success_callback = ["langfuse"] 
 
 chat = ChatLiteLLM(
-  model="gpt-3.5-turbo"
+  model="gpt-4o"
   model_kwargs={
       "metadata": {
         "trace_user_id": "user-id2", # set langfuse Trace User ID
diff --git a/docs/my-website/docs/observability/langsmith_integration.md b/docs/my-website/docs/observability/langsmith_integration.md
index cada4122b20..c5ef6943f2c 100644
--- a/docs/my-website/docs/observability/langsmith_integration.md
+++ b/docs/my-website/docs/observability/langsmith_integration.md
@@ -46,7 +46,7 @@ litellm.callbacks = ["langsmith"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
@@ -58,9 +58,9 @@ response = litellm.completion(
 1. Setup config.yaml
 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
     litellm_params:
-      model: openai/gpt-3.5-turbo
+      model: openai/gpt-4o
       api_key: os.environ/OPENAI_API_KEY
 
 litellm_settings:
@@ -78,7 +78,7 @@ curl -L -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
 -H 'Content-Type: application/json' \
 -H 'Authorization: Bearer sk-eWkpOhYaHiuIZV-29JDeTQ' \
 -d '{
-  "model": "gpt-3.5-turbo",
+  "model": "gpt-4o",
   "messages": [
     {
       "role": "user",
@@ -117,7 +117,7 @@ litellm.callbacks = ["langsmith"]
 litellm.langsmith_batch_size = 1 # 👈 KEY CHANGE
  
 response = litellm.completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
      messages=[
         {"role": "user", "content": "Hi 👋 - i'm openai"}
     ]
@@ -130,9 +130,9 @@ print(response)
 1. Setup config.yaml
 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
     litellm_params:
-      model: openai/gpt-3.5-turbo
+      model: openai/gpt-4o
       api_key: os.environ/OPENAI_API_KEY
 
 litellm_settings:
@@ -151,7 +151,7 @@ curl -L -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
 -H 'Content-Type: application/json' \
 -H 'Authorization: Bearer sk-eWkpOhYaHiuIZV-29JDeTQ' \
 -d '{
-  "model": "gpt-3.5-turbo",
+  "model": "gpt-4o",
   "messages": [
     {
       "role": "user",
@@ -184,7 +184,7 @@ os.environ['OPENAI_API_KEY']=""
 litellm.success_callback = ["langsmith"] 
  
 response = litellm.completion(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
      messages=[
         {"role": "user", "content": "Hi 👋 - i'm openai"}
     ],
diff --git a/docs/my-website/docs/observability/logfire_integration.md b/docs/my-website/docs/observability/logfire_integration.md
index a1bd43a4bc4..eedc86ef8f1 100644
--- a/docs/my-website/docs/observability/logfire_integration.md
+++ b/docs/my-website/docs/observability/logfire_integration.md
@@ -52,7 +52,7 @@ litellm.success_callback = ["logfire"]
 
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
diff --git a/docs/my-website/docs/observability/openmeter.md b/docs/my-website/docs/observability/openmeter.md
index 2f53568757f..b361442761b 100644
--- a/docs/my-website/docs/observability/openmeter.md
+++ b/docs/my-website/docs/observability/openmeter.md
@@ -44,7 +44,7 @@ litellm.callbacks = ["openmeter"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
diff --git a/docs/my-website/docs/observability/phoenix_integration.md b/docs/my-website/docs/observability/phoenix_integration.md
index 191f1f8044a..84d3b510523 100644
--- a/docs/my-website/docs/observability/phoenix_integration.md
+++ b/docs/my-website/docs/observability/phoenix_integration.md
@@ -42,7 +42,7 @@ litellm.callbacks = ["arize_phoenix"]
 
 # OpenAI call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]
diff --git a/docs/my-website/docs/observability/promptlayer_integration.md b/docs/my-website/docs/observability/promptlayer_integration.md
index 7f62a316972..ad80d21ca69 100644
--- a/docs/my-website/docs/observability/promptlayer_integration.md
+++ b/docs/my-website/docs/observability/promptlayer_integration.md
@@ -44,7 +44,7 @@ os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
 litellm.success_callback = ["promptlayer"]
 
 #openai call
-response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
 
 #cohere call
 response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}])
@@ -72,7 +72,7 @@ os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
 litellm.success_callback = ["promptlayer"]
 
 #openai call - log llm provider is openai
-response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}], metadata={"provider": "openai"})
+response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}], metadata={"provider": "openai"})
 
 #cohere call - log llm provider is cohere
 response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}], metadata={"provider": "cohere"})
diff --git a/docs/my-website/docs/observability/sentry.md b/docs/my-website/docs/observability/sentry.md
index 46b19331b24..32624cf476f 100644
--- a/docs/my-website/docs/observability/sentry.md
+++ b/docs/my-website/docs/observability/sentry.md
@@ -44,7 +44,7 @@ os.environ["OPENAI_API_KEY"] = "your-openai-key"
 
 # set bad key to trigger error 
 api_key="bad-key"
-response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey!"}], stream=True, api_key=api_key)
+response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hey!"}], stream=True, api_key=api_key)
 
 print(response)
 ```
diff --git a/docs/my-website/docs/observability/sumologic_integration.md b/docs/my-website/docs/observability/sumologic_integration.md
index c30ee94dad4..69846a8bb72 100644
--- a/docs/my-website/docs/observability/sumologic_integration.md
+++ b/docs/my-website/docs/observability/sumologic_integration.md
@@ -56,7 +56,7 @@ litellm.callbacks = ["sumologic"]
 
 # OpenAI call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - I'm testing Sumo Logic integration"}
   ]
@@ -70,9 +70,9 @@ response = litellm.completion(
 
 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
     litellm_params:
-      model: openai/gpt-3.5-turbo
+      model: openai/gpt-4o
       api_key: os.environ/OPENAI_API_KEY
 
 litellm_settings:
@@ -95,7 +95,7 @@ curl -L -X POST 'http://0.0.0.0:4000/chat/completions' \
 -H 'Content-Type: application/json' \
 -H 'Authorization: Bearer sk-1234' \
 -d '{
-  "model": "gpt-3.5-turbo",
+  "model": "gpt-4o",
   "messages": [
     {
       "role": "user",
@@ -123,7 +123,7 @@ Example payload:
 {
   "id": "chatcmpl-123",
   "call_type": "litellm.completion",
-  "model": "gpt-3.5-turbo",
+  "model": "gpt-4o",
   "messages": [
     {"role": "user", "content": "Hello"}
   ],
@@ -156,9 +156,9 @@ The Sumo Logic integration uses **NDJSON (newline-delimited JSON)** format by de
 
 Each log entry is sent as a separate line in the HTTP request:
 ```
-{"id":"chatcmpl-1","model":"gpt-3.5-turbo","response_cost":0.0001,...}
+{"id":"chatcmpl-1","model":"gpt-4o","response_cost":0.0001,...}
 {"id":"chatcmpl-2","model":"gpt-4","response_cost":0.0003,...}
-{"id":"chatcmpl-3","model":"gpt-3.5-turbo","response_cost":0.0001,...}
+{"id":"chatcmpl-3","model":"gpt-4o","response_cost":0.0001,...}
 ```
 
 #### Benefits for Field Extraction Rules (FERs)
diff --git a/docs/my-website/docs/observability/wandb_integration.md b/docs/my-website/docs/observability/wandb_integration.md
index 37057f43db5..4d497b9f345 100644
--- a/docs/my-website/docs/observability/wandb_integration.md
+++ b/docs/my-website/docs/observability/wandb_integration.md
@@ -46,7 +46,7 @@ litellm.success_callback = ["wandb"]
  
 # openai call
 response = litellm.completion(
-  model="gpt-3.5-turbo",
+  model="gpt-4o",
   messages=[
     {"role": "user", "content": "Hi 👋 - i'm openai"}
   ]