diff --git a/litellm/integrations/helicone.py b/litellm/integrations/helicone.py
index d64a5899519..e5dc05e4797 100644
--- a/litellm/integrations/helicone.py
+++ b/litellm/integrations/helicone.py
@@ -118,15 +118,20 @@ class HeliconeLogger:
                 f"Helicone Logging - Enters logging function for model {model}"
             )
             litellm_params = kwargs.get("litellm_params", {})
+            custom_llm_provider = litellm_params.get("custom_llm_provider", "")
             kwargs.get("litellm_call_id", None)
             metadata = litellm_params.get("metadata", {}) or {}
             metadata = self.add_metadata_from_header(litellm_params, metadata)
+
+            # Check if model is a vertex_ai model
+            is_vertex_ai = custom_llm_provider == "vertex_ai" or model.startswith("vertex_ai/")
+
             model = (
                 model
                 if any(
                     accepted_model in model
                     for accepted_model in self.helicone_model_list
-                )
+                ) or is_vertex_ai
                 else "gpt-3.5-turbo"
             )
             provider_request = {"model": model, "messages": messages}
@@ -135,7 +140,7 @@ class HeliconeLogger:
             ):
                 response_obj = response_obj.json()
 
-            if "claude" in model:
+            if "claude" in model and not is_vertex_ai:
                 response_obj = self.claude_mapping(
                     model=model, messages=messages, response_obj=response_obj
                 )
@@ -149,12 +154,15 @@ class HeliconeLogger:
             # Code to be executed
             provider_url = self.provider_url
             url = f"{self.api_base}/oai/v1/log"
-            if "claude" in model:
+            if "claude" in model and not is_vertex_ai:
                 url = f"{self.api_base}/anthropic/v1/log"
                 provider_url = "https://api.anthropic.com/v1/messages"
             elif "gemini" in model:
                 url = f"{self.api_base}/custom/v1/log"
                 provider_url = "https://generativelanguage.googleapis.com/v1beta"
+            elif is_vertex_ai:
+                url = f"{self.api_base}/custom/v1/log"
+                provider_url = "https://aiplatform.googleapis.com/v1"
             headers = {
                 "Authorization": f"Bearer {self.key}",
                 "Content-Type": "application/json",
diff --git a/tests/litellm/integrations/helicone/test_helicone_gemini.py b/tests/litellm/integrations/helicone/test_helicone_gemini.py
index 37c50241a14..f42a7016131 100644
--- a/tests/litellm/integrations/helicone/test_helicone_gemini.py
+++ b/tests/litellm/integrations/helicone/test_helicone_gemini.py
@@ -33,3 +33,32 @@ def test_helicone_gemini_models_recognized():
             for accepted_model in logger.helicone_model_list
         )
         assert is_recognized, f"{model} should be recognized by helicone_model_list"
+
+
+def test_helicone_vertex_ai_models_recognized():
+    """
+    Test that Vertex AI models (GLM, DeepSeek, etc.) are recognized via custom_llm_provider.
+    """
+    # Test models that don't contain "gemini" but are vertex_ai
+    test_models = [
+        "vertex_ai/zai-org/glm-4.7-maas",
+        "vertex_ai/deepseek-ai/deepseek-v3",
+        "vertex_ai/meta/llama-3.1-405b",
+    ]
+    for model in test_models:
+        is_vertex_ai = model.startswith("vertex_ai/")
+        assert is_vertex_ai, f"{model} should be recognized as vertex_ai model"
+
+
+def test_helicone_vertex_ai_via_custom_llm_provider():
+    """
+    Test that vertex_ai models are recognized when custom_llm_provider is set.
+    """
+    # Models without vertex_ai/ prefix but with custom_llm_provider="vertex_ai"
+    test_cases = [
+        ("zai-org/glm-4.7-maas", "vertex_ai"),
+        ("deepseek-ai/deepseek-v3", "vertex_ai"),
+    ]
+    for model, custom_llm_provider in test_cases:
+        is_vertex_ai = custom_llm_provider == "vertex_ai" or model.startswith("vertex_ai/")
+        assert is_vertex_ai, f"{model} with custom_llm_provider={custom_llm_provider} should be recognized as vertex_ai"