diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index a4a9a5bee39..948f7aad445 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -38,11 +38,11 @@ from litellm.litellm_core_utils.llm_cost_calc.utils import (
     BilledTokenRates,
     CostCalculatorUtils,
     calculate_cache_writing_cost,
-    calculate_cost_component,
     generic_cost_per_character,
     generic_cost_per_token,
     get_batch_cost_rates,
     get_billable_input_tokens,
+    get_cost_per_unit,
     get_regional_uplift_multiplier,
     get_service_tier_cost_key,
     get_token_type_cost_breakdown,
@@ -3040,7 +3040,10 @@ def batch_cost_calculator(
 
         # Add cache read cost if applicable
         cache_read_cost_key: Final = get_service_tier_cost_key("cache_read_input_token_cost", None)
-        total_prompt_cost += calculate_cost_component(model_info, cache_read_cost_key, cache_read_tokens) / 2
+        cache_read_cost: Final = get_cost_per_unit(model_info, cache_read_cost_key, None)
+        total_prompt_cost += (
+            cache_read_tokens * (input_cost_per_token if cache_read_cost is None else cache_read_cost) / 2
+        )
 
         cache_creation_cost: Final = model_info.get("cache_creation_input_token_cost") or input_cost_per_token
         total_prompt_cost += cache_creation_tokens * cache_creation_cost / 2
diff --git a/tests/unit/test_cost_calculator.py b/tests/unit/test_cost_calculator.py
index 84f6dab9eff..72b38efee01 100644
--- a/tests/unit/test_cost_calculator.py
+++ b/tests/unit/test_cost_calculator.py
@@ -4310,6 +4310,24 @@ def test_batch_cost_calculator_cache_creation_falls_back_to_input_rate():
     assert prompt_cost == pytest.approx((1000 * 3e-6 + 8000 * 3e-7 + 2000 * 3e-6) / 2)
 
 
+def test_batch_cost_calculator_cache_read_falls_back_to_input_rate():
+    from litellm.cost_calculator import batch_cost_calculator
+
+    model_info: ModelInfo = {
+        "supported_openai_params": [],
+        "input_cost_per_token": 3e-6,
+        "output_cost_per_token": 15e-6,
+    }
+    prompt_cost, _ = batch_cost_calculator(
+        usage=_batch_cache_usage(),
+        model="my-fine-tuned-model",
+        custom_llm_provider="openai",
+        model_info=model_info,
+    )
+
+    assert prompt_cost == pytest.approx(11000 * 3e-6 / 2)
+
+
 def test_completion_cost_bills_interactions_api_response():
     from litellm.types.interactions import InteractionsAPIResponse