diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index e26f7305e99..ee7336168fc 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -504,6 +504,75 @@ async def test_async_vertexai_streaming_response():
             pytest.fail(f"An exception occurred: {e}")
 
 
+# asyncio.run(test_async_vertexai_streaming_response())
+
+
+@pytest.mark.parametrize("provider", ["vertex_ai"])  # "vertex_ai_beta"
+@pytest.mark.parametrize("sync_mode", [True, False])
+@pytest.mark.flaky(retries=3, delay=1)
+@pytest.mark.asyncio
+async def test_gemini_pro_vision(provider, sync_mode):
+    try:
+        load_vertex_ai_credentials()
+        litellm.set_verbose = True
+        litellm.num_retries = 3
+        if sync_mode:
+            resp = litellm.completion(
+                model="{}/gemini-2.5-flash-lite".format(provider),
+                messages=[
+                    {"role": "system", "content": "Be a good bot"},
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "Whats in this image?"},
+                            {
+                                "type": "image_url",
+                                "image_url": {
+                                    "url": "gs://cloud-samples-data/generative-ai/image/boats.jpeg"
+                                },
+                            },
+                        ],
+                    },
+                ],
+            )
+        else:
+            resp = await litellm.acompletion(
+                model="{}/gemini-2.5-flash-lite".format(provider),
+                messages=[
+                    {"role": "system", "content": "Be a good bot"},
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": "Whats in this image?"},
+                            {
+                                "type": "image_url",
+                                "image_url": {
+                                    "url": "gs://cloud-samples-data/generative-ai/image/boats.jpeg"
+                                },
+                            },
+                        ],
+                    },
+                ],
+            )
+        print(resp)
+
+        prompt_tokens = resp.usage.prompt_tokens
+
+        # DO Not DELETE this ASSERT
+        # Google counts the prompt tokens for us, we should ensure we use the tokens from the orignal response
+        assert prompt_tokens == 267  # the gemini api returns 267 to us
+
+    except litellm.RateLimitError as e:
+        pass
+    except Exception as e:
+        if "500 Internal error encountered.'" in str(e):
+            pass
+        else:
+            pytest.fail(f"An exception occurred - {str(e)}")
+
+
+# test_gemini_pro_vision()
+
 
 @pytest.mark.parametrize("load_pdf", [False])  # True,
 @pytest.mark.flaky(retries=3, delay=1)
@@ -536,7 +605,7 @@ def test_completion_function_plus_pdf(load_pdf):
         image_message = {"role": "user", "content": image_content}
 
         response = completion(
-            model="vertex_ai_beta/gemini-1.5-flash-preview-0514",
+            model="vertex_ai_beta/gemini-2.5-flash-lite",
             messages=[image_message],
             stream=False,
         )