diff --git a/tutorials/21_Customizing_PromptNode.ipynb b/tutorials/21_Customizing_PromptNode.ipynb
index 43f8744d..f682b006 100644
--- a/tutorials/21_Customizing_PromptNode.ipynb
+++ b/tutorials/21_Customizing_PromptNode.ipynb
@@ -102,7 +102,7 @@
    "source": [
     "## Trying Out PromptNode\n",
     "\n",
-    "The PromptNode is the central abstraction in Haystack's large language model (LLM) support. It uses [`google/flan-t5-base`](https://huggingface.co/google/flan-t5-base) model by default, but you can replace the default model with a flan-t5 model of a different size such as `google/flan-t5-large` or a model by OpenAI such as `text-davinci-003`.\n",
+    "The PromptNode is the central abstraction in Haystack's large language model (LLM) support. It uses [`google/flan-t5-base`](https://huggingface.co/google/flan-t5-base) model by default, but you can replace the default model with a flan-t5 model of a different size such as `google/flan-t5-large` or a model by OpenAI such as `gpt-3.5-turbo-instruct`.\n",
     "\n",
     "[Large language models](https://docs.haystack.deepset.ai/docs/language_models#large-language-models-llms) are huge models trained on enormous amounts of data. That’s why these models have general knowledge of the world, so you can ask them anything and they will be able to answer.\n",
     "\n",
@@ -145,7 +145,7 @@
    "source": [
     "> Note: To use PromptNode with an OpenAI model, change the model name and provide an `api_key`: \n",
     "> ```python\n",
-    "> prompt_node = PromptNode(model_name_or_path=\"text-davinci-003\", api_key=<YOUR_API_KEY>)\n",
+    "> prompt_node = PromptNode(model_name_or_path=\"gpt-3.5-turbo-instruct\", api_key=<YOUR_API_KEY>)\n",
     "> ```"
    ]
   },
diff --git a/tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb b/tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb
index 03de149d..12f7b5f8 100644
--- a/tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb
+++ b/tutorials/23_Answering_Multihop_Questions_with_Agents.ipynb
@@ -419,7 +419,7 @@
     "\n",
     "The `Agent` needs to determine the next best course of action at each iteration. It does this by using an LLM, and a prompt designed specially for this use case. Our `Agent` uses a `PromptNode` with the default [\"zero-shot-react\" `PromptTemplate` ](https://github.com/deepset-ai/haystack/blob/444a3116c42d2c8852d27aa8093ac92c8e85ab88/haystack/nodes/prompt/prompt_node.py#L337). \n",
     "\n",
-    "Here, let's define an `Agent` that uses the `text-davinci-003` model by OpenAI."
+    "Here, let's define an `Agent` that uses the `gpt-3.5-turbo-instruct` model by OpenAI."
    ]
   },
   {
@@ -433,7 +433,7 @@
     "from haystack.agents import Agent\n",
     "from haystack.nodes import PromptNode\n",
     "\n",
-    "prompt_node = PromptNode(model_name_or_path=\"text-davinci-003\", api_key=api_key, stop_words=[\"Observation:\"])\n",
+    "prompt_node = PromptNode(model_name_or_path=\"gpt-3.5-turbo-instruct\", api_key=api_key, stop_words=[\"Observation:\"])\n",
     "agent = Agent(prompt_node=prompt_node)"
    ]
   },
diff --git a/tutorials/25_Customizing_Agent.ipynb b/tutorials/25_Customizing_Agent.ipynb
index e9e058f8..9d10fb12 100644
--- a/tutorials/25_Customizing_Agent.ipynb
+++ b/tutorials/25_Customizing_Agent.ipynb
@@ -285,7 +285,7 @@
     ")\n",
     "\n",
     "prompt_node = PromptNode(\n",
-    "    model_name_or_path=\"text-davinci-003\", api_key=openai_api_key, default_prompt_template=prompt_template\n",
+    "    model_name_or_path=\"gpt-3.5-turbo-instruct\", api_key=openai_api_key, default_prompt_template=prompt_template\n",
     ")\n",
     "\n",
     "generative_pipeline = Pipeline()\n",