diff --git a/open_notebook/models/__init__.py b/open_notebook/models/__init__.py
index fc431d7..3e3b72a 100644
--- a/open_notebook/models/__init__.py
+++ b/open_notebook/models/__init__.py
@@ -17,6 +17,7 @@ from open_notebook.models.llms import (
     OpenRouterLanguageModel,
     VertexAILanguageModel,
     VertexAnthropicLanguageModel,
+    XAILanguageModel,
 )
 from open_notebook.models.speech_to_text_models import (
     OpenAISpeechToTextModel,
@@ -44,6 +45,7 @@ MODEL_CLASS_MAP: Dict[str, ProviderMap] = {
         "anthropic": AnthropicLanguageModel,
         "openai": OpenAILanguageModel,
         "gemini": GeminiLanguageModel,
+        "xai": XAILanguageModel,
     },
     "embedding": {
         "openai": OpenAIEmbeddingModel,
diff --git a/open_notebook/models/llms.py b/open_notebook/models/llms.py
index 3c9046d..52ff94b 100644
--- a/open_notebook/models/llms.py
+++ b/open_notebook/models/llms.py
@@ -171,7 +171,7 @@ class OpenRouterLanguageModel(LanguageModel):
 
     def to_langchain(self) -> ChatOpenAI:
         """
-        Convert the language model to a LangChain chat model.
+        Convert the language model to a LangChain chat model for Open Router.
         """
         kwargs = self.kwargs
         if self.json:
@@ -191,6 +191,34 @@ class OpenRouterLanguageModel(LanguageModel):
         )
 
 
+@dataclass
+class XAILanguageModel(LanguageModel):
+    """
+    Language model that uses the OpenAI chat model for X.AI.
+    """
+
+    model_name: str
+
+    def to_langchain(self) -> ChatOpenAI:
+        """
+        Convert the language model to a LangChain chat model.
+        """
+        kwargs = self.kwargs
+        if self.json:
+            kwargs["response_format"] = {"type": "json_object"}
+
+        return ChatOpenAI(
+            model=self.model_name,
+            temperature=self.temperature or 0.5,
+            base_url=os.environ.get("XAI_BASE_URL", "https://api.x.ai/v1"),
+            max_tokens=self.max_tokens,
+            model_kwargs=kwargs,
+            streaming=self.streaming,
+            api_key=SecretStr(os.environ.get("XAI_API_KEY", "xai")),
+            top_p=self.top_p,
+        )
+
+
 @dataclass
 class AnthropicLanguageModel(LanguageModel):
     """
diff --git a/pages/7_⚙️_Settings.py b/pages/7_⚙️_Settings.py
index 135e889..e2b09f0 100644
--- a/pages/7_⚙️_Settings.py
+++ b/pages/7_⚙️_Settings.py
@@ -28,6 +28,7 @@ model_types = [
 
 provider_status["ollama"] = os.environ.get("OLLAMA_API_BASE") is not None
 provider_status["openai"] = os.environ.get("OPENAI_API_KEY") is not None
+provider_status["xai"] = os.environ.get("XAI_API_KEY") is not None
 provider_status["vertexai"] = (
     os.environ.get("VERTEX_PROJECT") is not None
     and os.environ.get("VERTEX_LOCATION") is not None