diff --git a/litellm/llms/dashscope/messages/transformation.py b/litellm/llms/dashscope/messages/transformation.py
new file mode 100644
index 00000000000..9800df41443
--- /dev/null
+++ b/litellm/llms/dashscope/messages/transformation.py
@@ -0,0 +1,139 @@
+"""
+DashScope (Alibaba Bailian) Anthropic-compatible Messages API adapter.
+
+Bailian exposes an Anthropic-compatible Messages endpoint at
+https://dashscope.aliyuncs.com/apps/anthropic/v1/messages, supporting
+deepseek-v4-pro/flash, qwen3.7-max/plus, glm-5.2, kimi-k2.6, minimax-m2.5, etc.
+
+Without this adapter, litellm falls back to
+LiteLLMMessagesToCompletionTransformationHandler, whose
+_add_cache_control_if_applicable() (adapters/transformation.py:302) strips
+cache_control for any non-Claude/non-Bedrock model. That silently drops
+Claude-Code cache markers and prevents Bailian from recognizing explicit
+prompt caching on deepseek-v4-flash.
+
+Docs: https://www.alibabacloud.com/help/zh/model-studio/anthropic-api-messages
+"""
+
+from typing import Any, Dict, List, Optional, Tuple
+
+import litellm
+from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
+    AnthropicMessagesConfig,
+)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.router import GenericLiteLLMParams
+
+
+class DashScopeAnthropicMessagesConfig(AnthropicMessagesConfig):
+    """Adapter for Alibaba Bailian's Anthropic-compatible Messages endpoint."""
+
+    def should_strip_billing_metadata(self) -> bool:
+        """Adapter for Alibaba Bailian's Anthropic-compatible Messages endpoint."""
+        return True
+
+    # Models Bailian explicitly documents on the Anthropic-compatible endpoint.
+    # Extend this set when Bailian onboards more models.
+    SUPPORTED_MODELS = frozenset(
+        {
+            # DeepSeek
+            "deepseek-v4-pro",
+            "deepseek-v4-flash",
+            "deepseek-v4-flash-0731",
+            # Qwen
+            # "qwen3.7-max", "qwen3.7-plus",
+            # "qwen3.6-flash", "qwen3.6-plus",
+            # "qwen-turbo", "qwen-plus", "qwen-max",
+        }
+    )
+
+    @property
+    def custom_llm_provider(self) -> Optional[str]:
+        return "dashscope"
+
+    @staticmethod
+    def is_supported_model(model: str) -> bool:
+        stripped = model.split("/", 1)[-1] if "/" in model else model
+        return stripped in DashScopeAnthropicMessagesConfig.SUPPORTED_MODELS
+
+    @staticmethod
+    def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
+        return (
+            api_key
+            or get_secret_str("DASHSCOPE_API_KEY")
+            or get_secret_str("BAILIAN_API_KEY")
+            or litellm.api_key
+        )
+
+    @staticmethod
+    def get_api_base(api_base: Optional[str] = None) -> str:
+        base = (
+            api_base
+            or get_secret_str("DASHSCOPE_ANTHROPIC_API_BASE")
+            or get_secret_str("DASHSCOPE_API_BASE")
+            or "https://dashscope.aliyuncs.com"
+        ).rstrip("/")
+        # Bailian docs warn: base_url must NOT end with /v1, otherwise the
+        # final path becomes /v1/v1/messages and returns 404.
+        if base.endswith("/v1"):
+            base = base[:-3]
+        return base
+
+    def validate_anthropic_messages_environment(
+        self,
+        headers: dict,
+        model: str,
+        messages: List[Any],
+        optional_params: dict,
+        litellm_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> Tuple[dict, Optional[str]]:
+        dynamic_api_key = self.get_api_key(api_key=api_key)
+
+        # Bailian accepts either "x-api-key" or "Authorization: Bearer"
+        if (
+            "x-api-key" not in headers
+            and "authorization" not in headers
+            and dynamic_api_key is not None
+        ):
+            headers["Authorization"] = f"Bearer {dynamic_api_key}"
+
+        if "anthropic-version" not in headers:
+            headers["anthropic-version"] = "2023-06-01"
+        if "content-type" not in headers:
+            headers["content-type"] = "application/json"
+
+        return headers, api_base
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        api_key: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
+        base = self.get_api_base(api_base=api_base)
+        return f"{base}/apps/anthropic/v1/messages"
+
+    def transform_anthropic_messages_request(
+        self,
+        model: str,
+        messages: List[Dict],
+        anthropic_messages_optional_request_params: Dict,
+        litellm_params: GenericLiteLLMParams,
+        headers: dict,
+    ) -> Dict:
+        req = super().transform_anthropic_messages_request(
+            model=model,
+            messages=messages,
+            anthropic_messages_optional_request_params=anthropic_messages_optional_request_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+        # Strip provider prefix; Bailian expects bare model name.
+        if isinstance(req.get("model"), str) and "/" in req["model"]:
+            req["model"] = req["model"].split("/", 1)[-1]
+        return req
diff --git a/litellm/utils.py b/litellm/utils.py
index 520c40f67c0..5241d4b5865 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -8413,6 +8413,14 @@ class ProviderConfigManager:
             )
 
             return DeepSeekAnthropicMessagesConfig()
+        elif litellm.LlmProviders.DASHSCOPE == provider:
+            from litellm.llms.dashscope.messages.transformation import (
+                DashScopeAnthropicMessagesConfig,
+            )
+            config = DashScopeAnthropicMessagesConfig()
+            if config.is_supported_model(model):
+                return config
+            return None
         elif litellm.LlmProviders.TENCENT == provider:
             from litellm.llms.tencent.messages.transformation import (
                 TencentAnthropicMessagesConfig,