diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index f7a11add35b..61616c7f1b4 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -170,7 +170,8 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
             tool_call["caller"] = cast(Dict[str, Any], anthropic_tool_content["caller"])  # type: ignore[typeddict-item]
         return tool_call
 
-    def _is_claude_opus_4_6(self, model: str) -> bool:
+    @staticmethod
+    def _is_claude_opus_4_6(model: str) -> bool:
         """Check if the model is Claude Opus 4.5."""
         return "opus-4-6" in model.lower() or "opus_4_6" in model.lower()
 
@@ -659,32 +660,38 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
 
     @staticmethod
     def _map_reasoning_effort(
-        reasoning_effort: Optional[Union[REASONING_EFFORT, str]],
+        reasoning_effort: Optional[Union[REASONING_EFFORT, str]], 
+        model: str,
     ) -> Optional[AnthropicThinkingParam]:
-        if reasoning_effort is None:
-            return None
-        elif reasoning_effort == "low":
+        if AnthropicConfig._is_claude_opus_4_6(model):
             return AnthropicThinkingParam(
-                type="enabled",
-                budget_tokens=DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET,
-            )
-        elif reasoning_effort == "medium":
-            return AnthropicThinkingParam(
-                type="enabled",
-                budget_tokens=DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET,
-            )
-        elif reasoning_effort == "high":
-            return AnthropicThinkingParam(
-                type="enabled",
-                budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
-            )
-        elif reasoning_effort == "minimal":
-            return AnthropicThinkingParam(
-                type="enabled",
-                budget_tokens=DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+                type="adaptive",
             )
         else:
-            raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}")
+            if reasoning_effort is None:
+                return None
+            elif reasoning_effort == "low":
+                return AnthropicThinkingParam(
+                    type="enabled",
+                    budget_tokens=DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET,
+                )
+            elif reasoning_effort == "medium":
+                return AnthropicThinkingParam(
+                    type="enabled",
+                    budget_tokens=DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET,
+                )
+            elif reasoning_effort == "high":
+                return AnthropicThinkingParam(
+                    type="enabled",
+                    budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
+                )
+            elif reasoning_effort == "minimal":
+                return AnthropicThinkingParam(
+                    type="enabled",
+                    budget_tokens=DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+                )
+            else:
+                raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}")
 
     def _extract_json_schema_from_response_format(
         self, value: Optional[dict]
@@ -860,13 +867,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
             if param == "thinking":
                 optional_params["thinking"] = value
             elif param == "reasoning_effort" and isinstance(value, str):
-                # For Claude Opus 4.6, map reasoning_effort to new adaptive thinking type
-                if self._is_claude_opus_4_6(model):
-                    optional_params["thinking"] = {"type": "adaptive"}
-                else:
-                    optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
-                        value
-                    )
+                optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
+                    reasoning_effort=value, model=model
+                )
             elif param == "web_search_options" and isinstance(value, dict):
                 hosted_web_search_tool = self.map_web_search_tool(
                     cast(OpenAIWebSearchOptions, value)
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index 6591e152a14..22fccd8f943 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -30,8 +30,6 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
 from litellm.llms.anthropic.chat.transformation import AnthropicConfig
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.bedrock import *
-
-from ..common_utils import is_claude_4_5_on_bedrock
 from litellm.types.llms.openai import (
     AllMessageValues,
     ChatCompletionAssistantMessage,
@@ -68,6 +66,7 @@ from ..common_utils import (
     BedrockModelInfo,
     get_anthropic_beta_from_headers,
     get_bedrock_tool_name,
+    is_claude_4_5_on_bedrock,
 )
 
 # Computer use tool prefixes supported by Bedrock
@@ -431,7 +430,7 @@ class AmazonConverseConfig(BaseConfig):
         else:
             # Anthropic and other models: convert to thinking parameter
             optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
-                reasoning_effort
+                reasoning_effort=reasoning_effort, model=model
             )
 
     def get_supported_openai_params(self, model: str) -> List[str]:
diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py
index 2b7f5dd5995..e9ae94307d4 100644
--- a/litellm/llms/databricks/chat/transformation.py
+++ b/litellm/llms/databricks/chat/transformation.py
@@ -298,7 +298,8 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig):
 
         if "reasoning_effort" in non_default_params and "claude" in model:
             optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
-                non_default_params.get("reasoning_effort")
+                reasoning_effort=non_default_params.get("reasoning_effort"),
+                model=model
             )
             optional_params.pop("reasoning_effort", None)
         ## handle thinking tokens
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 39c95b893f5..5099218e592 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -963,7 +963,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 159
     },
-    "anthropic.claude-opus-4-6-v1:0": {
+    "anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.25e-05,
         "cache_read_input_token_cost": 5e-07,
@@ -993,7 +993,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "global.anthropic.claude-opus-4-6-v1:0": {
+    "global.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.25e-05,
         "cache_read_input_token_cost": 5e-07,
@@ -1053,7 +1053,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "eu.anthropic.claude-opus-4-6-v1:0": {
+    "eu.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
         "cache_read_input_token_cost": 5.5e-07,
@@ -1083,7 +1083,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "apac.anthropic.claude-opus-4-6-v1:0": {
+    "apac.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
         "cache_read_input_token_cost": 5.5e-07,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 39c95b893f5..5099218e592 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -963,7 +963,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 159
     },
-    "anthropic.claude-opus-4-6-v1:0": {
+    "anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.25e-05,
         "cache_read_input_token_cost": 5e-07,
@@ -993,7 +993,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "global.anthropic.claude-opus-4-6-v1:0": {
+    "global.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.25e-05,
         "cache_read_input_token_cost": 5e-07,
@@ -1053,7 +1053,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "eu.anthropic.claude-opus-4-6-v1:0": {
+    "eu.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
         "cache_read_input_token_cost": 5.5e-07,
@@ -1083,7 +1083,7 @@
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346
     },
-    "apac.anthropic.claude-opus-4-6-v1:0": {
+    "apac.anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.875e-06,
         "cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
         "cache_read_input_token_cost": 5.5e-07,