diff --git a/litellm/anthropic_beta_headers_config.json b/litellm/anthropic_beta_headers_config.json
index 662b62cf205..d02afe37569 100644
--- a/litellm/anthropic_beta_headers_config.json
+++ b/litellm/anthropic_beta_headers_config.json
@@ -72,7 +72,7 @@
     "computer-use-2025-11-24": "computer-use-2025-11-24",
     "context-1m-2025-08-07": "context-1m-2025-08-07",
     "context-management-2025-06-27": null,
-    "effort-2025-11-24": null,
+    "effort-2025-11-24": "effort-2025-11-24",
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
@@ -103,7 +103,7 @@
     "computer-use-2025-11-24": "computer-use-2025-11-24",
     "context-1m-2025-08-07": "context-1m-2025-08-07",
     "context-management-2025-06-27": null,
-    "effort-2025-11-24": null,
+    "effort-2025-11-24": "effort-2025-11-24",
     "fast-mode-2026-02-01": null,
     "files-api-2025-04-14": null,
     "fine-grained-tool-streaming-2025-05-14": null,
diff --git a/litellm/constants.py b/litellm/constants.py
index 7bf94971a39..7708ba8b69a 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -202,6 +202,23 @@ DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET = int(
 DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET = int(
     os.getenv("DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET", 4096)
 )
+# ``xhigh`` / ``max`` budget extrapolation for legacy ``thinking.budget_tokens``
+# models (Claude 4.5 series + haiku). Continues the 2× progression
+# 1024 → 2048 → 4096 from the existing low/medium/high tiers. These tiers
+# also exist as adaptive ``output_config.effort`` enum values on Claude 4.6+
+# / 4.7; this constant only governs the budget-tokens fallback for models
+# that aren't on the adaptive path. Per
+# https://platform.claude.com/docs/en/build-with-claude/effort the ``effort``
+# enum is gated by model, but the legacy ``budget_tokens`` knob accepts any
+# integer up to the model's max_tokens — adopting #27051's mapping here lets
+# ``reasoning_effort=xhigh|max`` Just Work as a unified OpenAI-format knob
+# regardless of which Anthropic API surface implements it.
+DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET = int(
+    os.getenv("DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET", 8192)
+)
+DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET = int(
+    os.getenv("DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET", 16384)
+)
 MAX_TOKEN_TRIMMING_ATTEMPTS = int(
     os.getenv("MAX_TOKEN_TRIMMING_ATTEMPTS", 10)
 )  # Maximum number of attempts to trim the message
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 21edf01f829..9de89d8ad55 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -21,8 +21,10 @@ from litellm.constants import (
     DEFAULT_ANTHROPIC_CHAT_MAX_TOKENS,
     DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_LOW_THINKING_BUDGET,
+    DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET,
     DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET,
+    DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET,
     RESPONSE_FORMAT_TOOL_NAME,
 )
 from litellm.litellm_core_utils.core_helpers import map_finish_reason
@@ -869,7 +871,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
     def _map_reasoning_effort(
         reasoning_effort: Optional[Union[REASONING_EFFORT, str]],
         model: str,
+        llm_provider: str = "anthropic",
     ) -> Optional[AnthropicThinkingParam]:
+        """Map an OpenAI-format ``reasoning_effort`` string to Anthropic's
+        ``thinking`` payload.
+
+        Raises ``BadRequestError`` (clean 400) instead of ``ValueError`` (500)
+        on unmapped efforts so every caller — Anthropic native, Bedrock
+        Invoke/Converse, Databricks, Vertex Anthropic, Azure AI Anthropic,
+        and the experimental ``/v1/messages`` pass-through — surfaces a
+        consistent error to the user. Pass ``llm_provider`` so the
+        ``BadRequestError`` carries the right provider name in logs.
+        """
         if reasoning_effort is None or reasoning_effort == "none":
             return None
         if AnthropicConfig._is_claude_4_6_model(
@@ -893,6 +906,28 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 type="enabled",
                 budget_tokens=DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET,
             )
+        elif reasoning_effort == "xhigh":
+            # Continues the 2× progression of low/medium/high (1024/2048/4096).
+            # On adaptive models (Claude 4.6/4.7) the ``xhigh`` tier is
+            # already routed via ``output_config.effort=xhigh`` above; this
+            # branch only applies to budget-mode models (Claude 4.5 series +
+            # haiku) where the OpenAI-format ``reasoning_effort`` knob would
+            # otherwise 400 with ``Unmapped reasoning effort``. Keeps the
+            # cross-model UX uniform — ``reasoning_effort=xhigh`` Just Works
+            # regardless of which Anthropic API surface implements it.
+            return AnthropicThinkingParam(
+                type="enabled",
+                budget_tokens=DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET,
+            )
+        elif reasoning_effort == "max":
+            # Same rationale as ``xhigh`` above — ``max`` is the adaptive
+            # enum's top tier on Claude 4.6/4.7, but for budget-mode models
+            # we extend the 2× progression (8192 → 16384) so the OpenAI-
+            # format alias is usable on every Claude model.
+            return AnthropicThinkingParam(
+                type="enabled",
+                budget_tokens=DEFAULT_REASONING_EFFORT_MAX_THINKING_BUDGET,
+            )
         elif reasoning_effort == "minimal":
             # Anthropic Messages API rejects ``budget_tokens < 1024`` with a
             # 400. Floor at the provider minimum so ``minimal`` is a usable
@@ -906,7 +941,15 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 ),
             )
         else:
-            raise ValueError(f"Unmapped reasoning effort: {reasoning_effort}")
+            raise litellm.exceptions.BadRequestError(
+                message=(
+                    f"Unmapped reasoning effort: {reasoning_effort!r}. "
+                    f"Must be one of: 'minimal', 'low', 'medium', 'high', "
+                    f"'xhigh', 'max', 'none'."
+                ),
+                model=model,
+                llm_provider=llm_provider,
+            )
 
     def _extract_json_schema_from_response_format(
         self, value: Optional[dict]
@@ -1170,21 +1213,15 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
             elif param == "thinking":
                 optional_params["thinking"] = value
             elif param == "reasoning_effort" and isinstance(value, str):
-                # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on
-                # unmapped efforts (``disabled`` / ``invalid`` / ``""`` /
-                # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean
-                # 400 ``BadRequestError`` instead of letting it surface as
-                # 500.
-                try:
-                    mapped_thinking = AnthropicConfig._map_reasoning_effort(
-                        reasoning_effort=value, model=model
-                    )
-                except ValueError as e:
-                    raise litellm.exceptions.BadRequestError(
-                        message=str(e),
-                        model=model,
-                        llm_provider=self.custom_llm_provider or "anthropic",
-                    )
+                # ``_map_reasoning_effort`` raises ``BadRequestError`` (400)
+                # directly on unmapped efforts (``disabled`` / ``invalid`` /
+                # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5) so
+                # we no longer need to wrap a ``ValueError`` here.
+                mapped_thinking = AnthropicConfig._map_reasoning_effort(
+                    reasoning_effort=value,
+                    model=model,
+                    llm_provider=self.custom_llm_provider or "anthropic",
+                )
                 if mapped_thinking is None:
                     optional_params.pop("thinking", None)
                     optional_params.pop("output_config", None)
@@ -1673,15 +1710,18 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 model=model,
                 llm_provider=self.custom_llm_provider or "anthropic",
             )
-        # ``max`` is for Opus 4.6+ output effort (not Sonnet 4.6, not Opus 4.5).
-        # Accept known Opus 4.6/4.7 id patterns and/or ``supports_max_reasoning_effort``
-        # in the model map (same pattern as ``xhigh`` below). The hardcoded
-        # patterns cover OpenRouter/GitHub Copilot/Vercel variants that don't
-        # carry the model-map flag yet — keep both checks until those provider
-        # entries are fully populated.
+        # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7
+        # adaptive-thinking models (per
+        # https://platform.claude.com/docs/en/build-with-claude/effort).
+        # Prefer the data-driven ``supports_max_reasoning_effort`` flag in
+        # ``model_prices_and_context_window.json`` so new variants only
+        # require a model-map update. Family-level ``_is_claude_4_6_model``
+        # / ``_is_claude_4_7_model`` checks remain as a fallback for
+        # OpenRouter/GitHub Copilot/Vercel/Bedrock variants whose entries
+        # don't yet carry the flag.
         if effort == "max" and not (
-            self._is_opus_4_6_model(model)
-            or self._is_opus_4_7_model(model)
+            self._is_claude_4_6_model(model)
+            or self._is_claude_4_7_model(model)
             or self._supports_effort_level(model, "max")
         ):
             raise litellm.exceptions.BadRequestError(
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
index 98004f647ef..f756279877d 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py
@@ -201,12 +201,18 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
         if not isinstance(reasoning_effort, str):
             return
 
+        # ``_map_reasoning_effort`` raises ``BadRequestError`` (400) directly
+        # on unmapped efforts. The /v1/messages pass-through surfaces errors
+        # as ``AnthropicError``; convert here so callers see a provider-shaped
+        # 400 rather than the LiteLLM-shaped one.
+        from litellm.exceptions import BadRequestError as _BadRequestError
+
         try:
             mapped_thinking = AnthropicConfig._map_reasoning_effort(
                 reasoning_effort=reasoning_effort, model=model
             )
-        except ValueError as e:
-            raise AnthropicError(message=str(e), status_code=400)
+        except _BadRequestError as e:
+            raise AnthropicError(message=str(e.message), status_code=400)
 
         if mapped_thinking is None:
             optional_params.pop("thinking", None)
@@ -238,9 +244,15 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
             # The chat completion path enforces this via
             # ``_apply_output_config``; mirror it here so /v1/messages
             # callers see a clean 400 instead of a provider-side error.
+            # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude
+            # 4.7 adaptive-thinking models. Prefer the data-driven
+            # ``supports_max_reasoning_effort`` flag in
+            # ``model_prices_and_context_window.json``; family-level checks
+            # are a fallback for variants whose entries don't yet carry the
+            # flag.
             if mapped_effort == "max" and not (
-                AnthropicConfig._is_opus_4_6_model(model)
-                or AnthropicConfig._is_opus_4_7_model(model)
+                AnthropicConfig._is_claude_4_6_model(model)
+                or AnthropicConfig._is_claude_4_7_model(model)
                 or AnthropicConfig._supports_effort_level(model, "max")
             ):
                 raise AnthropicError(
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index f711e88df6e..14c7c3030c4 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -463,20 +463,16 @@ class AmazonConverseConfig(BaseConfig):
             optional_params.update(reasoning_config)
         else:
             # Anthropic and other models: convert to thinking parameter.
-            # Wrap the ``ValueError`` ``_map_reasoning_effort`` raises on
-            # unmapped efforts (``disabled`` / ``invalid`` / ``""`` /
-            # ``xhigh``/``max`` on budget-mode Claude 4.5) into a clean 400
-            # ``BadRequestError`` instead of letting it surface as 500.
-            try:
-                mapped_thinking = AnthropicConfig._map_reasoning_effort(
-                    reasoning_effort=reasoning_effort, model=model
-                )
-            except ValueError as e:
-                raise litellm.exceptions.BadRequestError(
-                    message=str(e),
-                    model=model,
-                    llm_provider="bedrock_converse",
-                )
+            # ``_map_reasoning_effort`` raises ``BadRequestError`` (400)
+            # directly on unmapped efforts (``disabled`` / ``invalid`` /
+            # ``""`` / ``xhigh``/``max`` on budget-mode Claude 4.5); pass
+            # ``llm_provider="bedrock_converse"`` so the error carries the
+            # right provider name.
+            mapped_thinking = AnthropicConfig._map_reasoning_effort(
+                reasoning_effort=reasoning_effort,
+                model=model,
+                llm_provider="bedrock_converse",
+            )
             if mapped_thinking is None:
                 optional_params.pop("thinking", None)
                 optional_params.pop("output_config", None)
@@ -555,9 +551,15 @@ class AmazonConverseConfig(BaseConfig):
                 model=model,
                 llm_provider="bedrock_converse",
             )
+        # ``max`` is supported on Claude 4.6 (Opus + Sonnet) and Claude 4.7
+        # adaptive-thinking models. Prefer the data-driven
+        # ``supports_max_reasoning_effort`` flag in
+        # ``model_prices_and_context_window.json`` so new variants only
+        # require a model-map update; family-level checks remain a fallback
+        # for Bedrock model ids whose entries don't yet carry the flag.
         if effort == "max" and not (
-            AnthropicConfig._is_opus_4_6_model(model)
-            or AnthropicConfig._is_opus_4_7_model(model)
+            AnthropicConfig._is_claude_4_6_model(model)
+            or AnthropicConfig._is_claude_4_7_model(model)
             or AmazonConverseConfig._supports_effort_level_on_bedrock(model, "max")
         ):
             raise litellm.exceptions.BadRequestError(
@@ -1535,9 +1537,29 @@ class AmazonConverseConfig(BaseConfig):
         # Append pre-formatted tools (systemTool etc.) after transformation
         bedrock_tools.extend(pre_formatted_tools)
 
+        # Auto-attach the effort beta header for non-adaptive Anthropic
+        # models on Bedrock Converse (i.e. Opus 4.5). Claude 4.6/4.7 accept
+        # ``output_config.effort`` as a stable, GA feature with no beta
+        # header; Opus 4.5 still gates it behind ``effort-2025-11-24``. The
+        # check mirrors ``AnthropicModelInfo.is_effort_used`` (which returns
+        # False for adaptive models) so we don't double-flag adaptive routes.
+        base_model = BedrockModelInfo.get_base_model(model)
+        if base_model.startswith("anthropic"):
+            output_config = additional_request_params.get("output_config")
+            if (
+                isinstance(output_config, dict)
+                and output_config.get("effort") is not None
+                and not AnthropicConfig._is_adaptive_thinking_model(model)
+            ):
+                from litellm.types.llms.anthropic import (
+                    ANTHROPIC_EFFORT_BETA_HEADER,
+                )
+
+                if ANTHROPIC_EFFORT_BETA_HEADER not in anthropic_beta_list:
+                    anthropic_beta_list.append(ANTHROPIC_EFFORT_BETA_HEADER)
+
         # Set anthropic_beta in additional_request_params if we have any beta features
         # ONLY apply to Anthropic/Claude models - other models (e.g., Qwen, Llama) don't support this field
-        base_model = BedrockModelInfo.get_base_model(model)
         if anthropic_beta_list and base_model.startswith("anthropic"):
             additional_request_params["anthropic_beta"] = anthropic_beta_list
 
diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py
index c086d4ad755..8ac438bbf01 100644
--- a/litellm/llms/databricks/chat/transformation.py
+++ b/litellm/llms/databricks/chat/transformation.py
@@ -330,8 +330,15 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig):
             )  # unsupported for claude models - if json_schema -> convert to tool call
 
         if "reasoning_effort" in non_default_params and "claude" in model:
+            # ``_map_reasoning_effort`` raises ``BadRequestError`` (400)
+            # directly on unmapped efforts; pass ``llm_provider="databricks"``
+            # so the surfaced error carries the correct provider name (the
+            # default is ``"anthropic"``, which would mislead users routing
+            # via Databricks Foundation Model APIs).
             optional_params["thinking"] = AnthropicConfig._map_reasoning_effort(
-                reasoning_effort=non_default_params.get("reasoning_effort"), model=model
+                reasoning_effort=non_default_params.get("reasoning_effort"),
+                model=model,
+                llm_provider="databricks",
             )
             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 392fafcfc2c..7946e2dceef 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -984,21 +984,6 @@
         "tool_use_system_prompt_tokens": 159,
         "supports_native_structured_output": true
     },
-    "anthropic.claude-mythos-preview": {
-        "input_cost_per_token": 0,
-        "output_cost_per_token": 0,
-        "litellm_provider": "bedrock",
-        "max_input_tokens": 1000000,
-        "max_output_tokens": 128000,
-        "max_tokens": 128000,
-        "mode": "chat",
-        "supports_function_calling": true,
-        "supports_vision": true,
-        "supports_prompt_caching": false,
-        "supports_reasoning": true,
-        "supports_minimal_reasoning_effort": true,
-        "supports_tool_choice": true
-    },
     "anthropic.claude-opus-4-6-v1": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_1hr": 1e-05,
@@ -1178,6 +1163,21 @@
         "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
+    "anthropic.claude-mythos-preview": {
+        "input_cost_per_token": 0,
+        "output_cost_per_token": 0,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_prompt_caching": false,
+        "supports_reasoning": true,
+        "supports_minimal_reasoning_effort": true,
+        "supports_tool_choice": true
+    },
     "global.anthropic.claude-opus-4-7": {
         "cache_creation_input_token_cost": 6.25e-06,
         "cache_creation_input_token_cost_above_1hr": 1e-05,
@@ -1323,6 +1323,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1352,6 +1353,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1381,6 +1383,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1409,6 +1412,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1437,6 +1441,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -2055,6 +2060,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9229,6 +9235,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9496,7 +9503,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-opus-4-7-20260416": {
@@ -9531,7 +9537,6 @@
             "us": 1.1,
             "fast": 6.0
         },
-        "supports_max_reasoning_effort": true,
         "supports_minimal_reasoning_effort": true
     },
     "claude-sonnet-4-20250514": {
@@ -15568,7 +15573,7 @@
         "mode": "embedding",
         "output_cost_per_token": 0,
         "output_vector_size": 3072,
-        "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing",
+        "source": "https://ai.google.dev/gemini-api/docs/embeddings#multimodal",
         "supports_multimodal": true,
         "uses_embed_content": true
     },
@@ -21164,7 +21169,7 @@
     },
     "gradient_ai/alibaba-qwen3-32b": {
         "litellm_provider": "gradient_ai",
-        "max_tokens": 2048,
+        "max_tokens": 40960,
         "mode": "chat",
         "supported_endpoints": [
             "/v1/chat/completions"
@@ -21172,7 +21177,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 131072,
+        "max_output_tokens": 40960
     },
     "gradient_ai/anthropic-claude-3-opus": {
         "input_cost_per_token": 1.5e-05,
@@ -21186,7 +21193,9 @@
         "supported_modalities": [
             "text"
         ],
-        "supports_tool_choice": false
+        "supports_tool_choice": false,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 1024
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@@ -25985,12 +25982,14 @@
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@@ -26197,6 +26198,29 @@
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         "output_cost_per_token_above_128k_tokens": 3e-05,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_tool_choice": true,
         "supports_web_search": true
     },
@@ -34690,6 +34754,7 @@
         "output_cost_per_token_above_128k_tokens": 3e-05,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_tool_choice": true,
         "supports_web_search": true
     },
@@ -34707,6 +34772,7 @@
         "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning",
         "supports_audio_input": true,
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
@@ -34727,6 +34793,7 @@
         "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning",
         "supports_audio_input": true,
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
@@ -34747,6 +34814,7 @@
         "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning",
         "supports_audio_input": true,
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
@@ -34767,6 +34835,7 @@
         "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning",
         "supports_audio_input": true,
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -34786,6 +34855,7 @@
         "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning",
         "supports_audio_input": true,
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_response_schema": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -34802,6 +34872,7 @@
         "output_cost_per_token": 6e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -34818,6 +34889,7 @@
         "output_cost_per_token": 6e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true,
         "supports_vision": true,
@@ -34850,6 +34922,7 @@
         "output_cost_per_token": 6e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "supports_web_search": true
@@ -34878,6 +34951,7 @@
         "output_cost_per_token": 1.5e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true
     },
@@ -34892,6 +34966,7 @@
         "output_cost_per_token": 1.5e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true
     },
@@ -34906,6 +34981,7 @@
         "output_cost_per_token": 1.5e-06,
         "source": "https://docs.x.ai/docs/models",
         "supports_function_calling": true,
+        "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_tool_choice": true
     },
@@ -34937,6 +35013,20 @@
         "supports_tool_choice": true,
         "source": "https://aws.amazon.com/bedrock/pricing/"
     },
+    "zai.glm-5": {
+        "input_cost_per_token": 1e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 3.2e-06,
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
     "zai.glm-4.7-flash": {
         "input_cost_per_token": 7e-08,
         "litellm_provider": "bedrock_converse",
@@ -39522,6 +39612,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -39746,6 +39837,87 @@
             }
         ]
     },
+    "zai.glm-5": {
+        "input_cost_per_token": 1e-06,
+        "output_cost_per_token": 3.2e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
+    "bedrock/us-east-1/zai.glm-5": {
+        "input_cost_per_token": 1e-06,
+        "output_cost_per_token": 3.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
+    "bedrock/us-west-2/zai.glm-5": {
+        "input_cost_per_token": 1e-06,
+        "output_cost_per_token": 3.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
+    "minimax.minimax-m2.5": {
+        "input_cost_per_token": 3e-07,
+        "output_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
+    "bedrock/us-east-1/minimax.minimax-m2.5": {
+        "input_cost_per_token": 3e-07,
+        "output_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
+    "bedrock/us-west-2/minimax.minimax-m2.5": {
+        "input_cost_per_token": 3e-07,
+        "output_cost_per_token": 1.2e-06,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 1000000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "supports_function_calling": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "source": "https://aws.amazon.com/bedrock/pricing/"
+    },
     "bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0": {
         "cache_creation_input_token_cost": 1.5e-06,
         "cache_read_input_token_cost": 1.2e-07,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 03b13d743f6..7946e2dceef 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1323,6 +1323,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1352,6 +1353,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1381,6 +1383,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1409,6 +1412,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -1437,6 +1441,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -2055,6 +2060,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -9229,6 +9235,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -26101,6 +26108,7 @@
         "supports_function_calling": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 159,
@@ -26141,6 +26149,7 @@
         "supports_function_calling": true,
         "supports_prompt_caching": true,
         "supports_reasoning": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -26206,6 +26215,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "supports_xhigh_reasoning_effort": true,
@@ -32590,6 +32600,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
@@ -39601,6 +39612,7 @@
         "supports_prompt_caching": true,
         "supports_reasoning": true,
         "supports_response_schema": true,
+        "supports_max_reasoning_effort": true,
         "supports_tool_choice": true,
         "supports_vision": true,
         "tool_use_system_prompt_tokens": 346,
diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
index c496df429e8..1aa664f6574 100644
--- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
+++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py
@@ -2078,13 +2078,17 @@ def test_get_config_does_not_leak_module_constants():
         ("claude-opus-4-7", "xhigh", True),
         ("claude-opus-4-6", "max", True),
         ("claude-opus-4-6", "xhigh", False),
-        ("claude-sonnet-4-6", "max", False),
+        # ``max`` is documented as supported on Sonnet 4.6 (Claude 4.6 family).
+        # The model-map JSON now carries ``supports_max_reasoning_effort: true``
+        # for every Sonnet 4.6 entry; ``_supports_effort_level`` should report
+        # ``True`` on every route prefix (anthropic, bedrock, vertex, azure).
+        ("claude-sonnet-4-6", "max", True),
         ("claude-sonnet-4-6", "xhigh", False),
         ("bedrock/invoke/us.anthropic.claude-opus-4-7", "max", True),
         ("bedrock/invoke/us.anthropic.claude-opus-4-7", "xhigh", True),
         ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "max", True),
         ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh", False),
-        ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", False),
+        ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max", True),
         ("vertex_ai/claude-opus-4-7", "xhigh", True),
         ("azure_ai/claude-opus-4-7", "xhigh", True),
     ],
@@ -2393,25 +2397,40 @@ def test_reasoning_effort_does_not_set_output_config_for_older_models():
         ), f"output_config should not be set for {model}"
 
 
-def test_max_effort_rejected_for_sonnet_46():
-    """Test that effort='max' is rejected for Sonnet 4.6 (Opus-only effort level).
+@pytest.mark.parametrize(
+    "model",
+    [
+        "claude-sonnet-4-6",
+        "claude-sonnet-4-6-20260219",
+        "us.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/us.anthropic.claude-sonnet-4-6",
+        "vertex_ai/claude-sonnet-4-6",
+        "openrouter/anthropic/claude-sonnet-4.6",
+    ],
+)
+def test_max_effort_accepted_for_sonnet_46_variants(model):
+    """``effort='max'`` is documented as supported on Claude 4.6 (Opus + Sonnet)
+    and Claude 4.7 (https://platform.claude.com/docs/en/build-with-claude/effort).
 
-    Surfaces as a clean 400 BadRequestError, not a 500 ValueError.
+    Earlier versions of this test asserted a 400 for Sonnet 4.6, mirroring an
+    Opus-only allow-list in ``_apply_output_config``. That gate has since been
+    widened to ``_is_claude_4_6_model`` (Opus + Sonnet) and the
+    ``supports_max_reasoning_effort`` JSON flag, matching Anthropic's published
+    matrix. Verify the param actually flows through every Sonnet 4.6 id
+    variant our routing layer might see.
     """
     config = AnthropicConfig()
     messages = [{"role": "user", "content": "Test"}]
 
-    with pytest.raises(
-        litellm.exceptions.BadRequestError,
-        match="effort='max' is not supported by this model",
-    ):
-        config.transform_request(
-            model="claude-sonnet-4-6-20260219",
-            messages=messages,
-            optional_params={"output_config": {"effort": "max"}},
-            litellm_params={},
-            headers={},
-        )
+    result = config.transform_request(
+        model=model,
+        messages=messages,
+        optional_params={"output_config": {"effort": "max"}},
+        litellm_params={},
+        headers={},
+    )
+
+    assert result["output_config"]["effort"] == "max"
 
 
 def test_max_effort_accepted_for_opus_46():
@@ -2510,24 +2529,37 @@ def test_reasoning_effort_garbage_raises_bad_request(effort):
 
 
 @pytest.mark.parametrize(
-    "effort",
-    ["xhigh", "max"],
+    "effort,expected_budget",
+    [("xhigh", 8192), ("max", 16384)],
 )
-def test_reasoning_effort_unsupported_tier_on_budget_model_raises_bad_request(
-    effort,
+def test_reasoning_effort_xhigh_max_maps_to_budget_on_budget_model(
+    effort, expected_budget
 ):
-    """``xhigh`` / ``max`` aren't defined for budget-mode (4.5) Claude models;
-    surface as a clean 400 instead of 500.
+    """``xhigh`` / ``max`` extend the legacy ``thinking.budget_tokens``
+    progression (low=1024 / medium=2048 / high=4096 → xhigh=8192 / max=16384)
+    on budget-mode Claude models (haiku / 4.5 series).
+
+    Adopted from #27051. Keeps the OpenAI-format ``reasoning_effort`` knob
+    usable across the full Claude lineup — adaptive models (4.6/4.7) route
+    these tiers via ``output_config.effort``; budget-mode models use the
+    extended budget. Anthropic's "max only on Mythos / Opus 4.7 / Opus 4.6 /
+    Sonnet 4.6" gating applies to the *adaptive enum*, not to the legacy
+    ``budget_tokens`` knob, which accepts any integer up to ``max_tokens``.
     """
     config = AnthropicConfig()
 
-    with pytest.raises(litellm.exceptions.BadRequestError):
-        config.map_openai_params(
-            non_default_params={"reasoning_effort": effort},
-            optional_params={},
-            model="claude-sonnet-4-5-20250929",
-            drop_params=False,
-        )
+    result = config.map_openai_params(
+        non_default_params={"reasoning_effort": effort},
+        optional_params={},
+        model="claude-sonnet-4-5-20250929",
+        drop_params=False,
+    )
+
+    assert result["thinking"]["type"] == "enabled"
+    assert result["thinking"]["budget_tokens"] == expected_budget
+    # Budget-mode models must NOT carry an ``output_config`` payload — that
+    # path is exclusively for adaptive (4.6+) models.
+    assert "output_config" not in result
 
 
 def test_output_config_effort_empty_string_raises_bad_request():
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py
index 900bb15545a..20b5f958396 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_effort_translation.py
@@ -132,11 +132,11 @@ def test_invalid_reasoning_effort_raises_400(bad_effort):
 @pytest.mark.parametrize(
     "model,bad_effort",
     [
+        # ``xhigh`` is Opus-4.7-only on the public Anthropic effort matrix,
+        # so Opus 4.6 / Sonnet 4.6 must still 400 on it.
         ("claude-opus-4-6", "xhigh"),
         ("bedrock/invoke/us.anthropic.claude-opus-4-6-v1", "xhigh"),
         ("claude-sonnet-4-6", "xhigh"),
-        ("claude-sonnet-4-6", "max"),
-        ("bedrock/invoke/us.anthropic.claude-sonnet-4-6", "max"),
     ],
 )
 def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort):
@@ -160,6 +160,32 @@ def test_reasoning_effort_unsupported_tier_raises_400_messages(model, bad_effort
     assert "not supported by this model" in str(exc_info.value)
 
 
+@pytest.mark.parametrize(
+    "model",
+    [
+        # ``max`` is documented as supported on Claude 4.6 (Opus + Sonnet)
+        # and Claude 4.7. Verify the /v1/messages route accepts it for
+        # Sonnet 4.6 variants instead of 400-ing client-side.
+        "claude-sonnet-4-6",
+        "bedrock/invoke/us.anthropic.claude-sonnet-4-6",
+    ],
+)
+def test_reasoning_effort_max_accepted_on_sonnet_46_messages(model):
+    config = AnthropicMessagesConfig()
+    optional_params = {"max_tokens": 1024, "reasoning_effort": "max"}
+
+    result = config.transform_anthropic_messages_request(
+        model=model,
+        messages=[{"role": "user", "content": "Hello"}],
+        anthropic_messages_optional_request_params=optional_params,
+        litellm_params={},
+        headers={},
+    )
+
+    output_config = result.get("output_config")
+    assert isinstance(output_config, dict) and output_config.get("effort") == "max"
+
+
 def test_explicit_output_config_wins_over_reasoning_effort():
     """
     Explicit native ``output_config.effort`` is never overridden by the
diff --git a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
index 9da7a046044..271498887f4 100644
--- a/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
+++ b/tests/test_litellm/llms/bedrock/chat/test_converse_transformation.py
@@ -395,24 +395,39 @@ def test_reasoning_effort_garbage_raises_bad_request_converse(effort):
         )
 
 
-def test_output_config_effort_unsupported_max_on_sonnet_46_raises_bad_request():
-    """``effort='max'`` is Opus-only. On Sonnet 4.6 the explicit-output_config
-    path must surface a 400 (matching the chat-completion validation), not
-    silently forward an unsupported tier to Bedrock."""
+@pytest.mark.parametrize(
+    "model",
+    [
+        "bedrock/converse/us.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/global.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/eu.anthropic.claude-sonnet-4-6",
+        "bedrock/converse/au.anthropic.claude-sonnet-4-6",
+    ],
+)
+def test_output_config_effort_max_passes_through_on_sonnet_46_variants(model):
+    """``effort='max'`` is supported on Claude 4.6 (Opus + Sonnet) per
+    https://platform.claude.com/docs/en/build-with-claude/effort. The earlier
+    Opus-only allow-list in ``_validate_anthropic_adaptive_effort`` has been
+    widened to ``_is_claude_4_6_model`` (Opus + Sonnet) plus the
+    ``supports_max_reasoning_effort`` JSON flag. Verify the param actually
+    flows through to ``additionalModelRequestFields.output_config.effort``
+    for every Bedrock Converse Sonnet 4.6 id variant."""
     config = AmazonConverseConfig()
     messages = [{"role": "user", "content": "hi"}]
 
-    with pytest.raises(litellm.exceptions.BadRequestError):
-        config._transform_request(
-            model="bedrock/converse/us.anthropic.claude-sonnet-4-6",
-            messages=messages,
-            optional_params={
-                "maxTokens": 256,
-                "output_config": {"effort": "max"},
-            },
-            litellm_params={},
-            headers={},
-        )
+    result = config._transform_request(
+        model=model,
+        messages=messages,
+        optional_params={
+            "maxTokens": 256,
+            "output_config": {"effort": "max"},
+        },
+        litellm_params={},
+        headers={},
+    )
+
+    additional = result.get("additionalModelRequestFields", {})
+    assert additional.get("output_config") == {"effort": "max"}
 
 
 def test_get_supported_openai_params():