diff --git a/README.md b/README.md
index 37efa22..f3374ad 100644
--- a/README.md
+++ b/README.md
@@ -47,16 +47,16 @@ For OpenAI, Azure OpenAI or OpenAI API compatible endpoint, you can use the foll
 
 ```shell
 export OPENAI_API_KEY=<your OpenAI key>
-export OPENAI_DEPLOYMENT_NAME=<your OpenAI deployment/model name. defaults to "gpt-3.5-turbo-0301">
+export OPENAI_DEPLOYMENT_NAME=<your OpenAI deployment/model name. defaults to "gpt-4o-mini-2024-07-18">
 export OPENAI_ENDPOINT=<your OpenAI endpoint, like "https://my-aoi-endpoint.openai.azure.com" or "http://localhost:8080/v1">
 ```
 
 If `OPENAI_ENDPOINT` variable is set, then it will use the endpoint. Otherwise, it will use OpenAI API.
 
-Azure OpenAI service does not allow certain characters, such as `.`, in the deployment name. Consequently, `kubectl-ai` will automatically replace `gpt-3.5-turbo` to `gpt-35-turbo` for Azure. However, if you use an Azure OpenAI deployment name completely different from the model name, you can set `AZURE_OPENAI_MAP` environment variable to map the model name to the Azure OpenAI deployment name. For example:
+If you use an Azure OpenAI deployment name completely different from the model name, you can set `AZURE_OPENAI_MAP` environment variable to map the model name to the Azure OpenAI deployment name. For example:
 
 ```shell
-export AZURE_OPENAI_MAP="gpt-3.5-turbo=my-deployment"
+export AZURE_OPENAI_MAP="gpt-4o-mini=my-deployment"
 ```
 
 ### Set up a local OpenAI API-compatible endpoint
@@ -74,7 +74,7 @@ After setting up the environment like above, you can use `kubectl-ai` as usual.
 
 ### Flags and environment variables
 
-- `--require-confirmation` flag or `REQUIRE_CONFIRMATION` environment varible can be set to prompt the user for confirmation before applying the manifest. Defaults to true.
+- `--require-confirmation` flag or `REQUIRE_CONFIRMATION` environment variable can be set to prompt the user for confirmation before applying the manifest. Defaults to true.
 
 - `--temperature` flag or `TEMPERATURE` environment variable can be set between 0 and 1. Higher temperature will result in more creative completions. Lower temperature will result in more deterministic completions. Defaults to 0.
 
diff --git a/cmd/cli/root.go b/cmd/cli/root.go
index d4fca8b..a699060 100644
--- a/cmd/cli/root.go
+++ b/cmd/cli/root.go
@@ -28,10 +28,10 @@ var (
 	version               = "dev"
 	kubernetesConfigFlags = genericclioptions.NewConfigFlags(false)
 
-	openAIDeploymentName = flag.String("openai-deployment-name", env.GetOr("OPENAI_DEPLOYMENT_NAME", env.String, "gpt-3.5-turbo-0301"), "The deployment name used for the model in OpenAI service.")
+	openAIDeploymentName = flag.String("openai-deployment-name", env.GetOr("OPENAI_DEPLOYMENT_NAME", env.String, "gpt-4o-mini-2024-07-18"), "The deployment name used for the model in OpenAI service.")
 	openAIAPIKey         = flag.String("openai-api-key", env.GetOr("OPENAI_API_KEY", env.String, ""), "The API key for the OpenAI service. This is required.")
 	openAIEndpoint       = flag.String("openai-endpoint", env.GetOr("OPENAI_ENDPOINT", env.String, openaiAPIURLv1), "The endpoint for OpenAI service. Defaults to"+openaiAPIURLv1+". Set this to your Local AI endpoint or Azure OpenAI Service, if needed.")
-	azureModelMap        = flag.StringToString("azure-openai-map", env.GetOr("AZURE_OPENAI_MAP", env.Map(env.String, "=", env.String, ""), map[string]string{}), "The mapping from OpenAI model to Azure OpenAI deployment. Defaults to empty map. Example format: gpt-3.5-turbo=my-deployment.")
+	azureModelMap        = flag.StringToString("azure-openai-map", env.GetOr("AZURE_OPENAI_MAP", env.Map(env.String, "=", env.String, ""), map[string]string{}), "The mapping from OpenAI model to Azure OpenAI deployment. Defaults to empty map. Example format: gpt-4o-mini=my-deployment.")
 	requireConfirmation  = flag.Bool("require-confirmation", env.GetOr("REQUIRE_CONFIRMATION", strconv.ParseBool, true), "Whether to require confirmation before executing the command. Defaults to true.")
 	temperature          = flag.Float64("temperature", env.GetOr("TEMPERATURE", env.WithBitSize(strconv.ParseFloat, 64), 0.0), "The temperature to use for the model. Range is between 0 and 1. Set closer to 0 if your want output to be more deterministic but less creative. Defaults to 0.0.")
 	raw                  = flag.Bool("raw", false, "Prints the raw YAML output immediately. Defaults to false.")