diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index d0bc9b78941..649d0a46495 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -40,7 +40,7 @@ from pydantic import (
     field_validator,
     model_validator,
 )
-from typing_extensions import Required, TypedDict
+from typing_extensions import NotRequired, Required, TypedDict
 
 from litellm._uuid import uuid
 from litellm.types.llms.base import (
@@ -110,6 +110,8 @@ SupportedCacheControls = ["ttl", "s-maxage", "no-cache", "no-store"]
 class CostPerToken(TypedDict):
     input_cost_per_token: float
     output_cost_per_token: float
+    cache_creation_input_token_cost: NotRequired[float]
+    cache_read_input_token_cost: NotRequired[float]
 
 
 class ProviderField(TypedDict):
@@ -1264,7 +1266,7 @@ class Delta(SafeAttributeModel, OpenAIObject):
     reasoning_items: Optional[List[ChatCompletionReasoningItem]] = None
     provider_specific_fields: Optional[Dict[str, Any]] = Field(default=None)
 
-    def __init__(
+    def __init__(  # noqa: PLR0915
         self,
         content=None,
         role=None,
diff --git a/tests/test_litellm/test_custom_pricing_cache_cost.py b/tests/test_litellm/test_custom_pricing_cache_cost.py
index 36c7e161f6a..b4b7beb54c1 100644
--- a/tests/test_litellm/test_custom_pricing_cache_cost.py
+++ b/tests/test_litellm/test_custom_pricing_cache_cost.py
@@ -31,7 +31,67 @@ def test_custom_cost_per_token_uses_cache_read_pricing():
             "input_cost_per_token": 0.0000025,
             "output_cost_per_token": 0.000015,
             "cache_read_input_token_cost": 0.00000025,
-        },  # type: ignore[typeddict-unknown-key]
+        },
     )
 
     assert cost == pytest.approx(0.011684)
+
+
+def test_custom_cost_per_token_uses_cache_read_usage_field():
+    usage = Usage(
+        prompt_tokens=100,
+        completion_tokens=10,
+        total_tokens=110,
+        cache_read_input_tokens=40,
+    )
+    response = ModelResponse(
+        id="test-id",
+        created=1234567890,
+        model="openai/custom",
+        object="chat.completion",
+        choices=[],
+        usage=usage,
+    )
+
+    cost = completion_cost(
+        completion_response=response,
+        model="openai/custom",
+        custom_llm_provider="openai",
+        custom_cost_per_token={
+            "input_cost_per_token": 0.01,
+            "output_cost_per_token": 0.02,
+            "cache_read_input_token_cost": 0.001,
+        },
+    )
+
+    assert cost == pytest.approx((60 * 0.01) + (40 * 0.001) + (10 * 0.02))
+
+
+def test_custom_cost_per_token_uses_cache_creation_pricing():
+    usage = Usage(
+        prompt_tokens=100,
+        completion_tokens=10,
+        total_tokens=110,
+        cache_creation_input_tokens=30,
+    )
+    response = ModelResponse(
+        id="test-id",
+        created=1234567890,
+        model="openai/custom",
+        object="chat.completion",
+        choices=[],
+        usage=usage,
+    )
+
+    cost = completion_cost(
+        completion_response=response,
+        model="openai/custom",
+        custom_llm_provider="openai",
+        custom_cost_per_token={
+            "input_cost_per_token": 0.01,
+            "output_cost_per_token": 0.02,
+            "cache_creation_input_token_cost": 0.015,
+        },
+    )
+
+    assert cost == pytest.approx((70 * 0.01) + (30 * 0.015) + (10 * 0.02))