diff --git a/litellm/llms/bedrock/cost_calculation.py b/litellm/llms/bedrock/cost_calculation.py
index ac99d4e36e7..829c9df411c 100644
--- a/litellm/llms/bedrock/cost_calculation.py
+++ b/litellm/llms/bedrock/cost_calculation.py
@@ -8,20 +8,53 @@ from typing import TYPE_CHECKING, Optional, Tuple
 from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
 
 if TYPE_CHECKING:
-    from litellm.types.utils import Usage
+        from litellm.types.utils import Usage
+
+# AWS charges a ~10% surcharge for cross-region inference profiles (us./eu./ap. prefixes)
+_CROSS_REGION_INFERENCE_SURCHARGE = 1.1
+
+
+def _is_cross_region_inference_model(model: str) -> bool:
+        """Return True if *model* uses a Bedrock cross-region inference prefix.
+
+            Cross-region inference profile IDs begin with a geographic abbreviation
+                followed by a dot, e.g. ``us.anthropic.claude-sonnet-4-6``.  AWS bills
+                    these at a ~10 % premium over the equivalent base-model price.
+                        """
+        from litellm.llms.bedrock.common_utils import (
+            get_bedrock_cross_region_inference_regions,
+    )
+
+    stripped = model
+    for prefix in ("bedrock/", "converse/"):
+                if stripped.startswith(prefix):
+                                stripped = stripped[len(prefix):]
+                                break
+
+            potential_region = stripped.split(".", 1)[0]
+    return potential_region in get_bedrock_cross_region_inference_regions()
 
 
 def cost_per_token(
-    model: str, usage: "Usage", service_tier: Optional[str] = None
+        model: str, usage: "Usage", service_tier: Optional[str] = None
 ) -> Tuple[float, float]:
-    """
-    Calculates the cost per token for a given model, prompt tokens, and completion tokens.
+        """
+            Calculates the cost per token for a given model, prompt tokens, and completion tokens.
 
-    Follows the same logic as Anthropic's cost per token calculation.
-    """
-    return generic_cost_per_token(
-        model=model,
-        usage=usage,
-        custom_llm_provider="bedrock",
-        service_tier=service_tier,
-    )
+                Follows the same logic as Anthropic's cost per token calculation.
+
+                    For cross-region inference profiles (us./eu./ap. prefixes), applies the AWS
+                        10 % surcharge on top of the base-model token prices.
+                            """
+        prompt_cost, completion_cost = generic_cost_per_token(
+            model=model,
+            usage=usage,
+            custom_llm_provider="bedrock",
+            service_tier=service_tier,
+        )
+
+    if _is_cross_region_inference_model(model):
+                prompt_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
+                completion_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
+
+    return prompt_cost, completion_cost