diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b659c3b65e5..48c51f8bbf5 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -7237,7 +7237,7 @@
         ],
         "supports_computer_use": true,
         "supports_function_calling": true,
-        "supports_max_reasoning_effort": true,
+        "supports_max_reasoning_effort": false,
         "supports_minimal_reasoning_effort": false,
         "supports_native_streaming": true,
         "supports_none_reasoning_effort": true,
@@ -7503,7 +7503,7 @@
         ],
         "supports_computer_use": true,
         "supports_function_calling": true,
-        "supports_max_reasoning_effort": true,
+        "supports_max_reasoning_effort": false,
         "supports_minimal_reasoning_effort": false,
         "supports_native_streaming": true,
         "supports_none_reasoning_effort": true,
diff --git a/litellm/router_utils/reasoning_effort_capability.py b/litellm/router_utils/reasoning_effort_capability.py
index 9185d901a28..7b145c15a07 100644
--- a/litellm/router_utils/reasoning_effort_capability.py
+++ b/litellm/router_utils/reasoning_effort_capability.py
@@ -10,8 +10,8 @@ opt-in. none is opt-out everywhere except the azure gpt-5 family, whose config r
 UnsupportedParamsError without an explicit true.
 
 xhigh is gated on the request path by the openai and azure gpt-5 configs. max is not gated there at
-all: every entry carrying supports_max_reasoning_effort is Claude-family, and
-anthropic/chat/transformation.py gates max on the output_config path while its reasoning_effort
+all: outside the gpt-6-astra rows every entry carrying supports_max_reasoning_effort is Claude-family,
+and anthropic/chat/transformation.py gates max on the output_config path while its reasoning_effort
 path maps any level to a thinking budget. Making max opt-in is a deliberate trade, then, since an
 explicit flag is the only signal that the tier is a real one rather than litellm rounding the level
 to a budget, and a missing flag costs advisory metadata rather than a rejected request.
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b659c3b65e5..48c51f8bbf5 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -7237,7 +7237,7 @@
         ],
         "supports_computer_use": true,
         "supports_function_calling": true,
-        "supports_max_reasoning_effort": true,
+        "supports_max_reasoning_effort": false,
         "supports_minimal_reasoning_effort": false,
         "supports_native_streaming": true,
         "supports_none_reasoning_effort": true,
@@ -7503,7 +7503,7 @@
         ],
         "supports_computer_use": true,
         "supports_function_calling": true,
-        "supports_max_reasoning_effort": true,
+        "supports_max_reasoning_effort": false,
         "supports_minimal_reasoning_effort": false,
         "supports_native_streaming": true,
         "supports_none_reasoning_effort": true,
diff --git a/tests/test_litellm/router_utils/test_reasoning_effort_capability.py b/tests/test_litellm/router_utils/test_reasoning_effort_capability.py
index fa3a6dcd95a..ccd6766b13a 100644
--- a/tests/test_litellm/router_utils/test_reasoning_effort_capability.py
+++ b/tests/test_litellm/router_utils/test_reasoning_effort_capability.py
@@ -394,30 +394,20 @@ class TestGpt6AstraAdvertisesItsDocumentedLevels:
         [
             ("azure/gpt-6-astra", "azure"),
             ("azure/us/gpt-6-astra", "azure"),
+            ("azure_ai/gpt-6-astra", "azure_ai"),
         ],
     )
-    def test_a_foundry_deployment_also_advertises_none(self, local_model_cost_map, model, custom_llm_provider):
-        """Microsoft Foundry serves the same model but its API accepts reasoning_effort none
-        (verified live: 200 with zero reasoning tokens, and it unlocks temperature), which
-        OpenAI's rejects, so an Azure deployment offers none on top of low through max."""
+    def test_an_azure_hosted_deployment_advertises_none_but_not_max(
+        self, local_model_cost_map, model, custom_llm_provider
+    ):
+        """Microsoft hosts the same model with a different level set than OpenAI does. Verified live
+        on both Azure routes: none returns 200 with zero reasoning tokens and unlocks temperature,
+        which OpenAI's API rejects, while max returns 400 unsupported_value naming none through
+        xhigh as the levels it does take."""
         from litellm.utils import _get_model_info_helper
 
         model_info = dict(_get_model_info_helper(model=model, custom_llm_provider=custom_llm_provider))
 
-        assert resolve_supported_reasoning_efforts(model_info, deployment_is_mapped=True) == (
-            "none",
-            "low",
-            "medium",
-            "high",
-            "xhigh",
-            "max",
-        )
-
-    def test_a_foundry_azure_ai_deployment_advertises_none_but_not_max(self, local_model_cost_map):
-        from litellm.utils import _get_model_info_helper
-
-        model_info = dict(_get_model_info_helper(model="azure_ai/gpt-6-astra", custom_llm_provider="azure_ai"))
-
         assert resolve_supported_reasoning_efforts(model_info, deployment_is_mapped=True) == (
             "none",
             "low",