diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 98e00cf5788..2e7cbf4d039 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -312,6 +312,10 @@ def cost_per_token(  # noqa: PLR0915
     audio_transcription_file_duration: float = 0.0,  # for audio transcription calls - the file time in seconds
     ### SERVICE TIER ###
     service_tier: Optional[str] = None,  # for OpenAI service tier pricing
+    ### DATA RESIDENCY ###
+    data_residency: Optional[
+        str
+    ] = None,  # for OpenAI regional-processing uplift (e.g. "eu", "us")
     response: Optional[Any] = None,
     ### REQUEST MODEL ###
     request_model: Optional[str] = None,  # original request model for router detection
@@ -493,6 +497,7 @@ def cost_per_token(  # noqa: PLR0915
                 usage=usage_block,
                 custom_llm_provider=custom_llm_provider,
                 service_tier=service_tier,
+                data_residency=data_residency,
             )
 
         return prompt_cost, completion_cost
@@ -529,6 +534,7 @@ def cost_per_token(  # noqa: PLR0915
                 model=model_without_prefix,
                 usage=usage_block,
                 service_tier=service_tier,
+                data_residency=data_residency,
             )
 
         return openai_cost_per_second(
@@ -579,7 +585,10 @@ def cost_per_token(  # noqa: PLR0915
         )
     elif custom_llm_provider == "openai":
         return openai_cost_per_token(
-            model=model, usage=usage_block, service_tier=service_tier
+            model=model,
+            usage=usage_block,
+            service_tier=service_tier,
+            data_residency=data_residency,
         )
     elif custom_llm_provider == "databricks":
         return databricks_cost_per_token(model=model, usage=usage_block)
@@ -631,6 +640,7 @@ def cost_per_token(  # noqa: PLR0915
                 usage=usage_block,
                 custom_llm_provider=custom_llm_provider,
                 service_tier=service_tier,
+                data_residency=data_residency,
             )
 
         if (
@@ -1117,6 +1127,10 @@ def completion_cost(  # noqa: PLR0915
     litellm_logging_obj: Optional[LitellmLoggingObject] = None,
     ### SERVICE TIER ###
     service_tier: Optional[str] = None,  # for OpenAI service tier pricing
+    ### DATA RESIDENCY ###
+    data_residency: Optional[
+        str
+    ] = None,  # for OpenAI regional-processing uplift (e.g. "eu", "us")
 ) -> float:
     """
     Calculate the cost of a given completion call fot GPT-3.5-turbo, llama2, any litellm supported llm.
@@ -1600,6 +1614,7 @@ def completion_cost(  # noqa: PLR0915
                     audio_transcription_file_duration=audio_transcription_file_duration,
                     rerank_billed_units=rerank_billed_units,
                     service_tier=service_tier,
+                    data_residency=data_residency,
                     response=completion_response,
                     request_model=request_model_for_cost,
                 )
@@ -1811,6 +1826,10 @@ def response_cost_calculator(
     litellm_logging_obj: Optional[LitellmLoggingObject] = None,
     ### SERVICE TIER ###
     service_tier: Optional[str] = None,  # for OpenAI service tier pricing
+    ### DATA RESIDENCY ###
+    data_residency: Optional[
+        str
+    ] = None,  # for OpenAI regional-processing uplift (e.g. "eu", "us")
 ) -> float:
     """
     Returns
@@ -1844,6 +1863,7 @@ def response_cost_calculator(
                 router_model_id=router_model_id,
                 litellm_logging_obj=litellm_logging_obj,
                 service_tier=service_tier,
+                data_residency=data_residency,
             )
         return response_cost
     except Exception as e:
diff --git a/litellm/litellm_core_utils/data_residency.py b/litellm/litellm_core_utils/data_residency.py
new file mode 100644
index 00000000000..727c92e215f
--- /dev/null
+++ b/litellm/litellm_core_utils/data_residency.py
@@ -0,0 +1,38 @@
+"""
+Helpers for resolving OpenAI data-residency (regional processing) from an
+api_base URL.
+
+OpenAI enforces hostname-per-region for projects with geography restrictions
+enabled and rejects requests sent to the wrong host, so the api_base hostname
+is the authoritative signal of which region a request was processed in.
+"""
+
+from typing import Dict, Optional
+from urllib.parse import urlparse
+
+# Mapping of OpenAI regional hostnames to the corresponding data-residency
+# value used by the cost calculator. See
+# https://developers.openai.com/api/docs/pricing for the regional-processing
+# uplift these hostnames trigger.
+_OPENAI_REGIONAL_HOSTS: Dict[str, str] = {
+    "eu.api.openai.com": "eu",
+    "us.api.openai.com": "us",
+}
+
+
+def infer_openai_data_residency(api_base: Optional[str]) -> Optional[str]:
+    """
+    Derive the OpenAI data-residency region from an api_base URL.
+
+    Returns ``"eu"`` for the EU regional host, ``"us"`` for the US regional
+    host, and ``None`` for the default global host (or any non-OpenAI URL).
+    """
+    if not api_base:
+        return None
+    try:
+        host = urlparse(api_base).hostname
+    except (TypeError, ValueError):
+        return None
+    if not host:
+        return None
+    return _OPENAI_REGIONAL_HOSTS.get(host.lower())
diff --git a/litellm/litellm_core_utils/get_litellm_params.py b/litellm/litellm_core_utils/get_litellm_params.py
index ad9538ac171..2b9442be394 100644
--- a/litellm/litellm_core_utils/get_litellm_params.py
+++ b/litellm/litellm_core_utils/get_litellm_params.py
@@ -1,5 +1,7 @@
 from typing import Optional
 
+from litellm.litellm_core_utils.data_residency import infer_openai_data_residency
+
 # Pre-define optional kwargs keys as frozenset for O(1) lookups
 # These are extracted from kwargs only if present, avoiding unnecessary .get() calls
 _OPTIONAL_KWARGS_KEYS = frozenset(
@@ -103,6 +105,15 @@ def get_litellm_params(
     if litellm_trace_id is None:
         litellm_trace_id = _meta.get("trace_id") or _meta.get("session_id")
 
+    # Derive data_residency from an OpenAI regional api_base (eu./us.api.openai.com)
+    # so custom callbacks can read kwargs["litellm_params"]["data_residency"]
+    # without having to parse the URL.
+    data_residency: Optional[str] = (
+        infer_openai_data_residency(api_base)
+        if custom_llm_provider == "openai" or custom_llm_provider is None
+        else None
+    )
+
     # Build base dict with explicit parameters (always included)
     litellm_params = {
         "acompletion": acompletion,
@@ -112,6 +123,7 @@ def get_litellm_params(
         "verbose": verbose,
         "custom_llm_provider": custom_llm_provider,
         "api_base": api_base,
+        "data_residency": data_residency,
         "litellm_call_id": litellm_call_id,
         "model_alias_map": model_alias_map,
         "completion_call_id": completion_call_id,
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 2ab037afb0d..71aca5ccf97 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -1546,6 +1546,11 @@ class Logging(LiteLLMLoggingBaseClass):
                     if self.optional_params
                     else None
                 ),
+                "data_residency": (
+                    self.litellm_params.get("data_residency")
+                    if hasattr(self, "litellm_params") and self.litellm_params
+                    else None
+                ),
             }
         except Exception as e:  # error creating kwargs for cost calculation
             debug_info = StandardLoggingModelCostFailureDebugInformation(
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 59d0465e6d4..6c999590dd7 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -9,6 +9,7 @@ from litellm.types.utils import (
     CacheCreationTokenDetails,
     CallTypes,
     CompletionTokensDetailsWrapper,
+    DataResidency,
     ImageResponse,
     ModelInfo,
     PassthroughCallTypes,
@@ -617,11 +618,46 @@ def _calculate_input_cost(
     return prompt_cost
 
 
+def _get_regional_uplift_multiplier(
+    model_info: ModelInfo, data_residency: Optional[str]
+) -> float:
+    """
+    Resolve the per-model regional-processing uplift multiplier for a given
+    data-residency region.
+
+    OpenAI applies a flat percentage uplift (e.g. +10%) on all token costs for
+    requests served from a regionalized hostname (eu./us.api.openai.com). The
+    multiplier is stored on the model entry as
+    ``regional_processing_uplift_multiplier_<region>`` (e.g. 1.10).
+
+    Returns 1.0 (no uplift) when ``data_residency`` is ``None`` or when the
+    model has no multiplier configured for the given region.
+    """
+    if data_residency is None:
+        return 1.0
+    residency = data_residency.lower()
+    if residency not in {r.value for r in DataResidency}:
+        return 1.0
+    multiplier = model_info.get(f"regional_processing_uplift_multiplier_{residency}")
+    if multiplier is None:
+        return 1.0
+    try:
+        return float(cast(float, multiplier))
+    except (TypeError, ValueError):
+        verbose_logger.exception(
+            "Invalid regional_processing_uplift_multiplier_%s for model; "
+            "defaulting to 1.0",
+            residency,
+        )
+        return 1.0
+
+
 def generic_cost_per_token(  # noqa: PLR0915
     model: str,
     usage: Usage,
     custom_llm_provider: str,
     service_tier: Optional[str] = None,
+    data_residency: Optional[str] = None,
 ) -> Tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -631,6 +667,8 @@ def generic_cost_per_token(  # noqa: PLR0915
     Input:
         - model: str, the model name without provider prefix
         - usage: LiteLLM Usage block, containing anthropic caching information
+        - data_residency: optional OpenAI data-residency region (e.g. "eu", "us"),
+          used to apply the per-model regional-processing uplift multiplier.
 
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
@@ -781,6 +819,14 @@ def generic_cost_per_token(  # noqa: PLR0915
         )
         completion_cost += float(image_tokens) * _output_cost_per_image_token
 
+    ## REGIONAL DATA-RESIDENCY UPLIFT
+    # Applied as a flat multiplier across all token costs for the request
+    # when the upstream is a regionalized OpenAI host (eu./us.api.openai.com).
+    uplift = _get_regional_uplift_multiplier(model_info, data_residency)
+    if uplift != 1.0:
+        prompt_cost *= uplift
+        completion_cost *= uplift
+
     return prompt_cost, completion_cost
 
 
diff --git a/litellm/llms/openai/cost_calculation.py b/litellm/llms/openai/cost_calculation.py
index 32b71a43afa..6935cafd0d9 100644
--- a/litellm/llms/openai/cost_calculation.py
+++ b/litellm/llms/openai/cost_calculation.py
@@ -19,7 +19,10 @@ def cost_router(call_type: CallTypes) -> Literal["cost_per_token", "cost_per_sec
 
 
 def cost_per_token(
-    model: str, usage: Usage, service_tier: Optional[str] = None
+    model: str,
+    usage: Usage,
+    service_tier: Optional[str] = None,
+    data_residency: Optional[str] = None,
 ) -> Tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -27,6 +30,9 @@ def cost_per_token(
     Input:
         - model: str, the model name without provider prefix
         - usage: LiteLLM Usage block, containing anthropic caching information
+        - data_residency: optional OpenAI data-residency region (e.g. "eu", "us"),
+          inferred from api_base. Applies the model's regional-processing
+          uplift multiplier when set.
 
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
@@ -37,6 +43,7 @@ def cost_per_token(
         usage=usage,
         custom_llm_provider="openai",
         service_tier=service_tier,
+        data_residency=data_residency,
     )
     # ### Non-cached text tokens
     # non_cached_text_tokens = usage.prompt_tokens
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 6a4a5dd6a03..ea625893226 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1011,6 +1011,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -1041,6 +1042,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -1071,6 +1073,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -1100,6 +1103,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -1129,6 +1133,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -1328,6 +1333,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "global.anthropic.claude-sonnet-4-6": {
@@ -1358,6 +1364,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "us.anthropic.claude-sonnet-4-6": {
@@ -1388,6 +1395,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "eu.anthropic.claude-sonnet-4-6": {
@@ -1417,6 +1425,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "au.anthropic.claude-sonnet-4-6": {
@@ -1446,6 +1455,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "jp.anthropic.claude-sonnet-4-6": {
@@ -1475,6 +1485,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
         "supports_native_structured_output": true,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "anthropic.claude-sonnet-4-20250514-v1:0": {
@@ -1996,6 +2007,7 @@
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 159,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -2093,6 +2105,7 @@
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "azure/computer-use-preview": {
@@ -9643,6 +9656,7 @@
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-sonnet-4-5-20250929-v1:0": {
@@ -9840,6 +9854,7 @@
             "us": 1.1,
             "fast": 6.0
         },
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -9875,7 +9890,8 @@
             "fast": 6.0
         },
         "supports_max_reasoning_effort": true,
-        "supports_minimal_reasoning_effort": true
+        "supports_minimal_reasoning_effort": true,
+        "supports_output_config": true
     },
     "claude-opus-4-7": {
         "cache_creation_input_token_cost": 6.25e-06,
@@ -9910,7 +9926,8 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_minimal_reasoning_effort": true
+        "supports_minimal_reasoning_effort": true,
+        "supports_output_config": true
     },
     "claude-opus-4-7-20260416": {
         "cache_creation_input_token_cost": 6.25e-06,
@@ -9945,7 +9962,8 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_minimal_reasoning_effort": true
+        "supports_minimal_reasoning_effort": true,
+        "supports_output_config": true
     },
     "claude-sonnet-4-20250514": {
         "deprecation_date": "2026-05-14",
@@ -14947,7 +14965,7 @@
         "mode": "chat",
         "output_cost_per_reasoning_token": 1.5e-06,
         "output_cost_per_token": 1.5e-06,
-        "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models",
+        "source": "https://ai.google.dev/gemini-api/docs/models",
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/completions",
@@ -19003,6 +19021,8 @@
         "output_cost_per_token": 8e-06,
         "output_cost_per_token_batches": 4e-06,
         "output_cost_per_token_priority": 1.4e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19076,6 +19096,8 @@
         "output_cost_per_token": 1.6e-06,
         "output_cost_per_token_batches": 8e-07,
         "output_cost_per_token_priority": 2.8e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19149,6 +19171,8 @@
         "output_cost_per_token": 4e-07,
         "output_cost_per_token_batches": 2e-07,
         "output_cost_per_token_priority": 8e-07,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19220,6 +19244,8 @@
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
         "output_cost_per_token_priority": 1.7e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19261,6 +19287,8 @@
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19282,6 +19310,8 @@
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19570,6 +19600,8 @@
         "output_cost_per_token": 6e-07,
         "output_cost_per_token_batches": 3e-07,
         "output_cost_per_token_priority": 1e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -20273,6 +20305,8 @@
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_flex": 5e-06,
         "output_cost_per_token_priority": 2e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -21195,6 +21229,8 @@
         "mode": "responses",
         "output_cost_per_token": 0.00012,
         "output_cost_per_token_batches": 6e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/batch",
             "/v1/responses"
@@ -21601,6 +21637,8 @@
         "output_cost_per_token": 2e-06,
         "output_cost_per_token_flex": 1e-06,
         "output_cost_per_token_priority": 3.6e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -21682,6 +21720,8 @@
         "max_input_tokens": 272000,
         "max_output_tokens": 128000,
         "max_tokens": 128000,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "mode": "chat",
         "output_cost_per_token": 4e-07,
         "output_cost_per_token_flex": 2e-07,
@@ -28187,10 +28227,10 @@
         "supports_tool_choice": true
     },
     "openrouter/xiaomi/mimo-v2-flash": {
-        "input_cost_per_token": 9e-08,
-        "output_cost_per_token": 2.9e-07,
+        "input_cost_per_token": 1e-07,
+        "output_cost_per_token": 3e-07,
         "cache_creation_input_token_cost": 0.0,
-        "cache_read_input_token_cost": 0.0,
+        "cache_read_input_token_cost": 1e-08,
         "litellm_provider": "openrouter",
         "max_input_tokens": 262144,
         "max_output_tokens": 16384,
@@ -28200,7 +28240,43 @@
         "supports_tool_choice": true,
         "supports_reasoning": true,
         "supports_vision": false,
-        "supports_prompt_caching": false
+        "supports_prompt_caching": true
+    },
+    "openrouter/xiaomi/mimo-v2.5-pro": {
+        "input_cost_per_token": 1e-06,
+        "output_cost_per_token": 3e-06,
+        "cache_creation_input_token_cost": 0.0,
+        "cache_read_input_token_cost": 2e-07,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 16384,
+        "max_tokens": 16384,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_tool_choice": true,
+        "supports_reasoning": true,
+        "supports_vision": false,
+        "supports_response_schema": true,
+        "supports_prompt_caching": true
+    },
+    "openrouter/xiaomi/mimo-v2.5": {
+        "input_cost_per_token": 4e-07,
+        "output_cost_per_token": 2e-06,
+        "cache_creation_input_token_cost": 0.0,
+        "cache_read_input_token_cost": 8e-08,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 131072,
+        "max_tokens": 131072,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_tool_choice": true,
+        "supports_reasoning": true,
+        "supports_vision": true,
+        "supports_audio_input": true,
+        "supports_video_input": true,
+        "supports_response_schema": true,
+        "supports_prompt_caching": true
     },
     "openrouter/z-ai/glm-4.7": {
         "input_cost_per_token": 4e-07,
@@ -28931,14 +29007,16 @@
         "mode": "responses",
         "supports_web_search": true,
         "supports_reasoning": false,
-        "supports_function_calling": true
+        "supports_function_calling": true,
+        "supports_output_config": true
     },
     "perplexity/anthropic/claude-opus-4-7": {
         "litellm_provider": "perplexity",
         "mode": "responses",
         "supports_web_search": true,
         "supports_reasoning": false,
-        "supports_function_calling": true
+        "supports_function_calling": true,
+        "supports_output_config": true
     },
     "perplexity/anthropic/claude-opus-4-5": {
         "litellm_provider": "perplexity",
@@ -33349,6 +33427,7 @@
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -33377,6 +33456,7 @@
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
+        "supports_output_config": true,
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
@@ -33490,6 +33570,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "vertex_ai/claude-sonnet-4-5@20250929": {
@@ -40602,6 +40683,7 @@
             "search_context_size_low": 0.01,
             "search_context_size_medium": 0.01
         },
+        "supports_output_config": true,
         "supports_minimal_reasoning_effort": true
     },
     "duckduckgo/search": {
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 282baff07fe..e7bce27170b 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -219,6 +219,12 @@ class ModelInfoBase(ProviderSpecificModelInfo, total=False):
     output_cost_per_token_priority: Optional[
         float
     ]  # OpenAI priority service tier pricing
+    regional_processing_uplift_multiplier_eu: Optional[
+        float
+    ]  # OpenAI EU data-residency uplift multiplier applied to all token costs (e.g. 1.10 = +10%)
+    regional_processing_uplift_multiplier_us: Optional[
+        float
+    ]  # OpenAI US data-residency uplift multiplier applied to all token costs (e.g. 1.10 = +10%)
     output_cost_per_character: Optional[float]  # only for vertex ai models
     output_cost_per_audio_token: Optional[float]
     output_cost_per_token_above_128k_tokens: Optional[
@@ -3601,6 +3607,20 @@ class ServiceTier(Enum):
     PRIORITY = "priority"
 
 
+class DataResidency(Enum):
+    """
+    OpenAI data-residency / regional-processing regions.
+
+    Inferred from the OpenAI api_base host (eu.api.openai.com -> EU,
+    us.api.openai.com -> US). Used to apply the regional-processing
+    cost uplift (see ``regional_processing_uplift_multiplier_<region>``
+    on ModelInfo).
+    """
+
+    US = "us"
+    EU = "eu"
+
+
 LLMResponseTypes = Union[
     ModelResponse,
     EmbeddingResponse,
diff --git a/litellm/utils.py b/litellm/utils.py
index 2487d39bd0d..52533823552 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5902,6 +5902,12 @@ def _get_model_info_helper(  # noqa: PLR0915
                 output_cost_per_token_priority=_model_info.get(
                     "output_cost_per_token_priority", None
                 ),
+                regional_processing_uplift_multiplier_eu=_model_info.get(
+                    "regional_processing_uplift_multiplier_eu", None
+                ),
+                regional_processing_uplift_multiplier_us=_model_info.get(
+                    "regional_processing_uplift_multiplier_us", None
+                ),
                 output_cost_per_audio_token=_model_info.get(
                     "output_cost_per_audio_token", None
                 ),
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 31a5993a240..ea625893226 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -19021,6 +19021,8 @@
         "output_cost_per_token": 8e-06,
         "output_cost_per_token_batches": 4e-06,
         "output_cost_per_token_priority": 1.4e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19094,6 +19096,8 @@
         "output_cost_per_token": 1.6e-06,
         "output_cost_per_token_batches": 8e-07,
         "output_cost_per_token_priority": 2.8e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19167,6 +19171,8 @@
         "output_cost_per_token": 4e-07,
         "output_cost_per_token_batches": 2e-07,
         "output_cost_per_token_priority": 8e-07,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -19238,6 +19244,8 @@
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
         "output_cost_per_token_priority": 1.7e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19279,6 +19287,8 @@
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19300,6 +19310,8 @@
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_batches": 5e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -19588,6 +19600,8 @@
         "output_cost_per_token": 6e-07,
         "output_cost_per_token_batches": 3e-07,
         "output_cost_per_token_priority": 1e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supports_function_calling": true,
         "supports_parallel_function_calling": true,
         "supports_pdf_input": true,
@@ -20291,6 +20305,8 @@
         "output_cost_per_token": 1e-05,
         "output_cost_per_token_flex": 5e-06,
         "output_cost_per_token_priority": 2e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -21213,6 +21229,8 @@
         "mode": "responses",
         "output_cost_per_token": 0.00012,
         "output_cost_per_token_batches": 6e-05,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/batch",
             "/v1/responses"
@@ -21619,6 +21637,8 @@
         "output_cost_per_token": 2e-06,
         "output_cost_per_token_flex": 1e-06,
         "output_cost_per_token_priority": 3.6e-06,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "supported_endpoints": [
             "/v1/chat/completions",
             "/v1/batch",
@@ -21700,6 +21720,8 @@
         "max_input_tokens": 272000,
         "max_output_tokens": 128000,
         "max_tokens": 128000,
+        "regional_processing_uplift_multiplier_eu": 1.10,
+        "regional_processing_uplift_multiplier_us": 1.10,
         "mode": "chat",
         "output_cost_per_token": 4e-07,
         "output_cost_per_token_flex": 2e-07,
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 a7a2b7720d7..dc6607e7009 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
@@ -1418,3 +1418,115 @@ def test_image_count_prevents_text_tokens_fallback():
         f"got {prompt_cost}. text_tokens fallback may be double-charging."
     )
     assert completion_cost == 0.0
+
+
+# ---------------------------------------------------------------------------
+# Data-residency (OpenAI regional processing) tests
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture
+def _local_model_cost_map():
+    os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+    litellm.model_cost = litellm.get_model_cost_map(url="")
+    yield
+    os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None)
+
+
+@pytest.mark.parametrize("data_residency", ["eu", "us"])
+def test_data_residency_applies_uplift(data_residency, _local_model_cost_map):
+    """gpt-5 should apply the regional processing uplift multiplier when
+    data_residency is set."""
+    from litellm.types.utils import Usage
+
+    usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+
+    base = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+    )
+    regional = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+        data_residency=data_residency,
+    )
+
+    base_total = base[0] + base[1]
+    regional_total = regional[0] + regional[1]
+
+    assert base_total > 0
+    assert regional_total == pytest.approx(base_total * 1.10, rel=1e-9)
+    assert regional[0] == pytest.approx(base[0] * 1.10, rel=1e-9)
+    assert regional[1] == pytest.approx(base[1] * 1.10, rel=1e-9)
+
+
+def test_data_residency_no_uplift_for_unmarked_model(_local_model_cost_map):
+    """A model without a regional_processing_uplift_multiplier_* entry should
+    fall back to base pricing, not error."""
+    from litellm.types.utils import Usage
+
+    usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+
+    base = generic_cost_per_token(
+        model="gpt-3.5-turbo",
+        usage=usage,
+        custom_llm_provider="openai",
+    )
+    with_residency = generic_cost_per_token(
+        model="gpt-3.5-turbo",
+        usage=usage,
+        custom_llm_provider="openai",
+        data_residency="eu",
+    )
+
+    assert base == with_residency
+
+
+def test_data_residency_none_no_uplift(_local_model_cost_map):
+    """data_residency=None should be a no-op even for models with a multiplier."""
+    from litellm.types.utils import Usage
+
+    usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+
+    base = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+    )
+    explicit_none = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+        data_residency=None,
+    )
+
+    assert base == explicit_none
+
+
+def test_data_residency_composes_with_service_tier(_local_model_cost_map):
+    """The uplift multiplies the priority-tier cost, not the standard one."""
+    from litellm.types.utils import Usage
+
+    usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+
+    priority_base = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+        service_tier="priority",
+    )
+    priority_eu = generic_cost_per_token(
+        model="gpt-5",
+        usage=usage,
+        custom_llm_provider="openai",
+        service_tier="priority",
+        data_residency="eu",
+    )
+
+    priority_base_total = priority_base[0] + priority_base[1]
+    priority_eu_total = priority_eu[0] + priority_eu[1]
+
+    assert priority_base_total > 0
+    assert priority_eu_total == pytest.approx(priority_base_total * 1.10, rel=1e-9)
diff --git a/tests/test_litellm/litellm_core_utils/test_data_residency.py b/tests/test_litellm/litellm_core_utils/test_data_residency.py
new file mode 100644
index 00000000000..58259dd7c68
--- /dev/null
+++ b/tests/test_litellm/litellm_core_utils/test_data_residency.py
@@ -0,0 +1,26 @@
+"""Tests for the OpenAI data-residency inference helper."""
+
+import pytest
+
+from litellm.litellm_core_utils.data_residency import infer_openai_data_residency
+
+
+@pytest.mark.parametrize(
+    "api_base, expected",
+    [
+        ("https://eu.api.openai.com/v1", "eu"),
+        ("https://eu.api.openai.com", "eu"),
+        ("https://us.api.openai.com/v1", "us"),
+        ("https://us.api.openai.com", "us"),
+        ("https://EU.api.openai.com/v1", "eu"),
+        ("https://api.openai.com/v1", None),
+        ("https://api.openai.com", None),
+        ("https://example.com/v1", None),
+        ("https://my-azure-endpoint.openai.azure.com/openai/deployments/foo", None),
+        ("", None),
+        (None, None),
+        ("not a url", None),
+    ],
+)
+def test_infer_openai_data_residency(api_base, expected):
+    assert infer_openai_data_residency(api_base) == expected
diff --git a/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py b/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
index dbcb048c250..55db31efd2c 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
@@ -125,3 +125,40 @@ class TestGetLitellmParamsExplicitFields:
     def test_no_log_from_explicit_param(self):
         result = get_litellm_params(no_log=True)
         assert result["no-log"] is True
+
+
+class TestGetLitellmParamsDataResidency:
+    """Verify that data_residency is inferred from OpenAI regional api_base."""
+
+    def test_eu_host_resolves_to_eu(self):
+        result = get_litellm_params(
+            custom_llm_provider="openai",
+            api_base="https://eu.api.openai.com/v1",
+        )
+        assert result["data_residency"] == "eu"
+
+    def test_us_host_resolves_to_us(self):
+        result = get_litellm_params(
+            custom_llm_provider="openai",
+            api_base="https://us.api.openai.com/v1",
+        )
+        assert result["data_residency"] == "us"
+
+    def test_global_host_resolves_to_none(self):
+        result = get_litellm_params(
+            custom_llm_provider="openai",
+            api_base="https://api.openai.com/v1",
+        )
+        assert result["data_residency"] is None
+
+    def test_no_api_base_is_none(self):
+        result = get_litellm_params(custom_llm_provider="openai")
+        assert result["data_residency"] is None
+
+    def test_non_openai_provider_does_not_resolve(self):
+        """Regional OpenAI host doesn't apply to other providers."""
+        result = get_litellm_params(
+            custom_llm_provider="anthropic",
+            api_base="https://eu.api.openai.com/v1",
+        )
+        assert result["data_residency"] is None