diff --git a/tests/client-sdk/inference/test_inference.py b/tests/client-sdk/inference/test_inference.py
index 6dff1be24..81cb0adf3 100644
--- a/tests/client-sdk/inference/test_inference.py
+++ b/tests/client-sdk/inference/test_inference.py
@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import base64
-import os
+import pathlib
 
 import pytest
 from pydantic import BaseModel
@@ -57,13 +57,20 @@ def get_weather_tool_definition():
 
 
 @pytest.fixture
-def base64_image_url():
-    image_path = os.path.join(os.path.dirname(__file__), "dog.png")
-    with open(image_path, "rb") as image_file:
-        # Convert the image to base64
-        base64_string = base64.b64encode(image_file.read()).decode("utf-8")
-        base64_url = f"data:image/png;base64,{base64_string}"
-        return base64_url
+def image_path():
+    return pathlib.Path(__file__).parent / "dog.png"
+
+
+@pytest.fixture
+def base64_image_data(image_path):
+    # Convert the image to base64
+    return base64.b64encode(image_path.read_bytes()).decode("utf-8")
+
+
+@pytest.fixture
+def base64_image_url(base64_image_data, image_path):
+    # suffix includes the ., so we remove it
+    return f"data:image/{image_path.suffix[1:]};base64,{base64_image_data}"
 
 
 def test_text_completion_non_streaming(llama_stack_client, text_model_id):
@@ -371,6 +378,33 @@ def test_image_chat_completion_streaming(llama_stack_client, vision_model_id):
     assert any(expected in streamed_content for expected in {"dog", "puppy", "pup"})
 
 
+def test_image_chat_completion_base64_data(
+    llama_stack_client, vision_model_id, base64_image_data
+):
+    message = {
+        "role": "user",
+        "content": [
+            {
+                "type": "image",
+                "image": {
+                    "data": base64_image_data,
+                },
+            },
+            {
+                "type": "text",
+                "text": "Describe what is in this image.",
+            },
+        ],
+    }
+    response = llama_stack_client.inference.chat_completion(
+        model_id=vision_model_id,
+        messages=[message],
+        stream=False,
+    )
+    message_content = response.completion_message.content.lower().strip()
+    assert len(message_content) > 0
+
+
 def test_image_chat_completion_base64_url(
     llama_stack_client, vision_model_id, base64_image_url
 ):