diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 9eb70e189a1..ef191d79177 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -251,6 +251,7 @@ class ModelInfoBase(ProviderSpecificModelInfo, total=False):
     cache_creation_input_token_cost_priority: float | None  # OpenAI priority service tier pricing
     cache_creation_input_token_cost_ultrafast: ReadOnly[float | None]  # OpenAI ultrafast service tier pricing
     cache_read_input_token_cost: float | None
+    cache_read_input_audio_token_cost: ReadOnly[float | None]
     cache_read_input_token_cost_flex: float | None  # OpenAI flex service tier pricing
     cache_read_input_token_cost_priority: float | None  # OpenAI priority service tier pricing
     cache_read_input_token_cost_ultrafast: ReadOnly[float | None]  # OpenAI ultrafast service tier pricing
diff --git a/litellm/utils.py b/litellm/utils.py
index 1a77655a5a4..d048265ecd3 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5866,6 +5866,7 @@ def _get_model_info_helper(
                     "cache_creation_input_token_cost_ultrafast", None
                 ),
                 cache_read_input_token_cost=_model_info.get("cache_read_input_token_cost", None),
+                cache_read_input_audio_token_cost=_model_info.get("cache_read_input_audio_token_cost", None),
                 prompt_cache_min_tokens=_model_info.get("prompt_cache_min_tokens", None),
                 cache_read_input_token_cost_above_200k_tokens=_model_info.get(
                     "cache_read_input_token_cost_above_200k_tokens", None
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 5d55dfb14a3..5ff1ab62698 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
@@ -5235,3 +5235,20 @@ def test_cached_audio_tokens_capped_at_cached_tokens(_local_model_cost_map: None
         model="gpt-realtime-2", usage=usage, custom_llm_provider="openai"
     )
     assert prompt_cost == pytest.approx(116 * 4e-6 + (167 - 100) * 32e-6 + 100 * 4e-7)
+
+
+def test_cached_audio_tokens_billed_at_audio_cache_rate_through_model_info_lookup(_local_model_cost_map: None) -> None:
+    usage = Usage(
+        prompt_tokens=1000,
+        completion_tokens=0,
+        total_tokens=1000,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            text_tokens=400,
+            audio_tokens=600,
+            cached_tokens=500,
+            cached_tokens_details={"text_tokens": 100, "audio_tokens": 400},
+        ),
+    )
+
+    prompt_cost, _ = generic_cost_per_token(model="gpt-realtime-2.1-mini", usage=usage, custom_llm_provider="openai")
+    assert prompt_cost == pytest.approx(300 * 6e-7 + 100 * 6e-8 + 200 * 1e-5 + 400 * 3e-7)
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 19ed31c7b22..d9ca7d9ddee 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -6430,3 +6430,11 @@ def test_completion_finishes_response_metadata_before_handing_the_response_to_th
     assert snapshot["litellm_call_id"]
     assert snapshot["response_cost"] is not None
     assert snapshot["api_base"]
+
+
+def test_get_model_info_carries_cache_read_input_audio_token_cost(monkeypatch):
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    monkeypatch.setattr(litellm, "model_cost", litellm.get_model_cost_map(url=""))
+    info = litellm.get_model_info("gpt-realtime-2.1-mini", custom_llm_provider="openai")
+    assert info["cache_read_input_audio_token_cost"] == 3e-07
+    assert info["cache_read_input_token_cost"] == 6e-08