diff --git a/src/agentscope/model/_dashscope_model.py b/src/agentscope/model/_dashscope_model.py
index c17a08e703..9b3dc22a37 100644
--- a/src/agentscope/model/_dashscope_model.py
+++ b/src/agentscope/model/_dashscope_model.py
@@ -368,6 +368,7 @@ async def _parse_dashscope_stream_response(
                     input_tokens=chunk.usage.input_tokens,
                     output_tokens=chunk.usage.output_tokens,
                     time=(datetime.now() - start_datetime).total_seconds(),
+                    metadata=chunk.usage,
                 )
 
             parsed_chunk = ChatResponse(
@@ -469,6 +470,7 @@ async def _parse_dashscope_generation_response(
                 input_tokens=response.usage.input_tokens,
                 output_tokens=response.usage.output_tokens,
                 time=(datetime.now() - start_datetime).total_seconds(),
+                metadata=response.usage,
             )
 
         parsed_response = ChatResponse(
diff --git a/src/agentscope/model/_model_usage.py b/src/agentscope/model/_model_usage.py
index fcc76120ff..d8345e4b84 100644
--- a/src/agentscope/model/_model_usage.py
+++ b/src/agentscope/model/_model_usage.py
@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 """The model usage class in agentscope."""
 from dataclasses import dataclass, field
-from typing import Literal
+from typing import Literal, Any
 
 from .._utils._mixin import DictMixin
 
@@ -21,3 +21,6 @@ class ChatUsage(DictMixin):
 
     type: Literal["chat"] = field(default_factory=lambda: "chat")
     """The type of the usage, must be `chat`."""
+
+    metadata: dict[str, Any] | None = field(default=None)
+    """The metadata of the usage."""
diff --git a/src/agentscope/model/_openai_model.py b/src/agentscope/model/_openai_model.py
index 3655a80808..222761829d 100644
--- a/src/agentscope/model/_openai_model.py
+++ b/src/agentscope/model/_openai_model.py
@@ -331,6 +331,7 @@ async def _parse_openai_stream_response(
                         input_tokens=chunk.usage.prompt_tokens,
                         output_tokens=chunk.usage.completion_tokens,
                         time=(datetime.now() - start_datetime).total_seconds(),
+                        metadata=chunk.usage,
                     )
 
                 if not chunk.choices:
@@ -531,6 +532,7 @@ def _parse_openai_completion_response(
                 input_tokens=response.usage.prompt_tokens,
                 output_tokens=response.usage.completion_tokens,
                 time=(datetime.now() - start_datetime).total_seconds(),
+                metadata=response.usage,
             )
 
         parsed_response = ChatResponse(