diff --git a/litellm/litellm_core_utils/token_counter.py b/litellm/litellm_core_utils/token_counter.py
index e6a68de07e9..33704e77de1 100644
--- a/litellm/litellm_core_utils/token_counter.py
+++ b/litellm/litellm_core_utils/token_counter.py
@@ -723,6 +723,13 @@ def _count_content_list(
                 num_tokens += _count_image_tokens(
                     image_url, use_default_image_token_count
                 )
+            elif c["type"] == "video_url":
+                video_url = c.get("video_url", "")
+                if isinstance(video_url, dict):
+                    video_url = video_url.get("url")
+                if video_url is None:
+                    video_url = ""
+                num_tokens += DEFAULT_IMAGE_TOKEN_COUNT + count_function(str(video_url))
             elif c["type"] in ("tool_use", "tool_result"):
                 num_tokens += _count_anthropic_content(
                     c,
@@ -744,7 +751,7 @@ def _count_content_list(
                 )
                 raise ValueError(
                     f"Invalid content item type: {content_type}. "
-                    f"Expected str or dict with 'type' field (text, image_url, tool_use, tool_result, thinking)."
+                    f"Expected str or dict with 'type' field (text, image_url, video_url, tool_use, tool_result, thinking)."
                 )
         return num_tokens
     except Exception as e:
diff --git a/tests/test_litellm/litellm_core_utils/test_token_counter.py b/tests/test_litellm/litellm_core_utils/test_token_counter.py
index 3aa5f012467..4ffb70f6ed8 100644
--- a/tests/test_litellm/litellm_core_utils/test_token_counter.py
+++ b/tests/test_litellm/litellm_core_utils/test_token_counter.py
@@ -16,6 +16,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
 import litellm
 from litellm import create_pretrained_tokenizer, decode, encode, get_modified_max_tokens
 from litellm import token_counter as token_counter_old
+from litellm.constants import DEFAULT_IMAGE_TOKEN_COUNT
 from litellm.litellm_core_utils.token_counter import token_counter as token_counter_new
 from tests.large_text import text
 from tests.test_litellm.litellm_core_utils.messages_with_counts import (
@@ -908,6 +909,75 @@ def test_token_counter_with_image_url():
         ), f"Expected detail validation error, got: {e}"
 
 
+def test_token_counter_with_video_url():
+    messages_dict = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Please describe this video."},
+                {
+                    "type": "video_url",
+                    "video_url": {
+                        "url": "data:video/mp4;base64,AAAA",
+                    },
+                },
+            ],
+        }
+    ]
+
+    tokens_dict = token_counter(model="gpt-4o", messages=messages_dict)
+    assert tokens_dict > 0, f"Expected positive token count, got {tokens_dict}"
+
+    messages_str = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "video_url",
+                    "video_url": "https://example.com/video.mp4",
+                }
+            ],
+        }
+    ]
+
+    tokens_str = token_counter(model="gpt-4o", messages=messages_str)
+    assert (
+        tokens_str > 0
+    ), f"Expected positive token count for string video_url, got {tokens_str}"
+    assert (
+        tokens_str > DEFAULT_IMAGE_TOKEN_COUNT
+    ), f"Expected default video token budget, got {tokens_str}"
+
+    messages_empty_url = [
+        {
+            "role": "user",
+            "content": [{"type": "video_url", "video_url": ""}],
+        }
+    ]
+    messages_none_url = [
+        {
+            "role": "user",
+            "content": [{"type": "video_url", "video_url": None}],
+        }
+    ]
+    messages_none_nested_url = [
+        {
+            "role": "user",
+            "content": [{"type": "video_url", "video_url": {"url": None}}],
+        }
+    ]
+
+    tokens_empty_url = token_counter(model="gpt-4o", messages=messages_empty_url)
+    assert tokens_empty_url > DEFAULT_IMAGE_TOKEN_COUNT
+    assert (
+        token_counter(model="gpt-4o", messages=messages_none_url) == tokens_empty_url
+    )
+    assert (
+        token_counter(model="gpt-4o", messages=messages_none_nested_url)
+        == tokens_empty_url
+    )
+
+
 def test_token_counter_with_thinking_content():
     """
     Test that _count_content_list() correctly handles Claude's extended thinking content blocks.