diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 369774090ef..891565c6481 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -1845,7 +1845,7 @@ def completion_cost(
                     )
                 elif call_type in _SPEECH_CALL_TYPES:
                     prompt_characters = (
-                        len(prompt.strip())
+                        len(prompt)
                         if custom_llm_provider == LlmProviders.ELEVENLABS.value
                         else litellm.utils.count_characters(text=prompt)
                     )
diff --git a/tests/unit/test_cost_calculator.py b/tests/unit/test_cost_calculator.py
index 418096fadaf..dfe236ae237 100644
--- a/tests/unit/test_cost_calculator.py
+++ b/tests/unit/test_cost_calculator.py
@@ -9134,7 +9134,7 @@ def test_azure_tts_cost_uses_test_owned_character_rate(monkeypatch: pytest.Monke
     assert cost == pytest.approx(0.05)
 
 
-def test_elevenlabs_tts_cost_counts_the_spaces_between_words(monkeypatch: pytest.MonkeyPatch) -> None:
+def test_elevenlabs_tts_cost_counts_every_whitespace_character(monkeypatch: pytest.MonkeyPatch) -> None:
     model: Final = "litellm-test-tts"
     monkeypatch.setitem(
         litellm.model_cost,
@@ -9146,7 +9146,7 @@ def test_elevenlabs_tts_cost_counts_the_spaces_between_words(monkeypatch: pytest
             "mode": "audio_speech",
         },
     )
-    spoken: Final = "hello there, world"
+    prompt: Final = "  hello there, world\n"
 
     cost: Final = response_cost_calculator(
         response_object=TranscriptionResponse(text=""),
@@ -9154,10 +9154,10 @@ def test_elevenlabs_tts_cost_counts_the_spaces_between_words(monkeypatch: pytest
         custom_llm_provider="elevenlabs",
         call_type="aspeech",
         optional_params={},
-        prompt=f"  {spoken}\n",
+        prompt=prompt,
     )
 
-    assert cost == pytest.approx(len(spoken) * 0.01)
+    assert cost == pytest.approx(len(prompt) * 0.01)
 
 
 def test_moderation_cost_uses_test_owned_token_rate() -> None: