diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 8fc428b38ae..2b339eac845 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -956,7 +956,9 @@ def _calculate_input_cost(
     )
 
     ### AUDIO COST
-    if prompt_tokens_details["audio_tokens"]:
+    if prompt_tokens_details["audio_tokens"] and not (
+        prompt_tokens_details["audio_length_seconds"] and model_info.get("input_cost_per_audio_per_second") is not None
+    ):
         audio_cost_key: Final = _get_service_tier_cost_key("input_cost_per_audio_token", service_tier)
         prompt_cost += calculate_cost_component(model_info, audio_cost_key, prompt_tokens_details["audio_tokens"])
 
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 2289de9a951..07a950fc272 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -1,5 +1,6 @@
 import json
 from datetime import datetime, timezone
+from typing import Final
 
 import pytest
 from fastapi.testclient import TestClient
@@ -52,6 +53,26 @@ def _local_model_cost_map(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setattr(litellm, "model_cost", litellm.get_model_cost_map(url=""))
 
 
+@pytest.mark.parametrize(
+    "duration,second_rate,expected",
+    ((2.0, 0.00016, 0.00032), (2.0, 0.0, 0.0), (2.0, None, 0.000416), (0.0, 0.00016, 0.000416)),
+)
+def test_audio_duration_and_tokens_bill_only_once(duration: float, second_rate: float | None, expected: float) -> None:
+    info: Final[ModelInfo] = {
+        "input_cost_per_token": 0.0,
+        "output_cost_per_token": 0.0,
+        "input_cost_per_audio_token": 6.5e-6,
+        "input_cost_per_audio_per_second": second_rate,
+    }
+    usage: Final = Usage(
+        prompt_tokens=64,
+        completion_tokens=0,
+        prompt_tokens_details=PromptTokensDetailsWrapper(audio_tokens=64, audio_length_seconds=duration, text_tokens=0),
+    )
+    cost, _ = generic_cost_per_token("audio-billing-fixture", usage, "vertex_ai", model_info=info)
+    assert cost == pytest.approx(expected)
+
+
 @pytest.mark.parametrize("prompt_tokens", [100, 200000, 200001])
 @pytest.mark.parametrize("read_rate", [None, 0.0, 0.25e-6])
 @pytest.mark.parametrize("service_tier", [None, "priority"])