diff --git a/src/crewai/llm.py b/src/crewai/llm.py
index 0c8a46214..bfc6f67e4 100644
--- a/src/crewai/llm.py
+++ b/src/crewai/llm.py
@@ -457,6 +457,12 @@ class LLM:
           - If no slash is present, "openai" is assumed.
         """
         provider = self._get_custom_llm_provider()
+        
+        # Special case for Azure OpenAI models that support JSON mode
+        if (provider == "azure" and self.response_format is not None and
+            any(model_prefix in self.model for model_prefix in ["gpt-35-turbo", "gpt-4-turbo", "gpt-4o"])):
+            return  # Skip validation for Azure OpenAI models that support JSON mode
+            
         if self.response_format is not None and not supports_response_schema(
             model=self.model,
             custom_llm_provider=provider,
diff --git a/tests/llm_test.py b/tests/llm_test.py
index 61aa1aced..1ee3e4385 100644
--- a/tests/llm_test.py
+++ b/tests/llm_test.py
@@ -253,6 +253,34 @@ def test_validate_call_params_no_response_format():
     llm._validate_call_params()
 
 
+def test_validate_call_params_azure_openai_supported():
+    """Test that Azure OpenAI models that should support JSON mode can use response_format."""
+    # Test with gpt-4o
+    llm = LLM(model="azure/gpt-4o", response_format={"type": "json_object"})
+    # Should not raise any error
+    llm._validate_call_params()
+    
+    # Test with gpt-35-turbo
+    llm = LLM(model="azure/gpt-35-turbo", response_format={"type": "json_object"})
+    # Should not raise any error
+    llm._validate_call_params()
+    
+    # Test with gpt-4-turbo
+    llm = LLM(model="azure/gpt-4-turbo", response_format={"type": "json_object"})
+    # Should not raise any error
+    llm._validate_call_params()
+
+
+def test_validate_call_params_azure_openai_unsupported():
+    """Test that Azure OpenAI models that don't support JSON mode cannot use response_format."""
+    # Test with a model that doesn't support JSON mode
+    with patch("crewai.llm.supports_response_schema", return_value=False):
+        llm = LLM(model="azure/text-davinci-003", response_format={"type": "json_object"})
+        with pytest.raises(ValueError) as excinfo:
+            llm._validate_call_params()
+        assert "does not support response_format" in str(excinfo.value)
+
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_o3_mini_reasoning_effort_high():
     llm = LLM(