diff --git a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
index 1f2b0f06f5..8e1e4a2366 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
@@ -15,7 +15,6 @@
     _get_model_name,
     _set_agent_data,
     _set_available_tools,
-    _set_model_data,
 )
 from .utils import (
     _serialize_binary_content_item,
@@ -306,7 +305,34 @@ def ai_client_context(
         if model_name:
             context.span.set_attribute(SPANDATA.GEN_AI_REQUEST_MODEL, model_name)
 
-    _set_model_data(context.span, agent, model_settings)
+    # Extract model settings
+    settings = model_settings
+    if not settings and agent and hasattr(agent, "model_settings"):
+        settings = agent.model_settings
+
+    if settings:
+        settings_map = {
+            "max_tokens": SPANDATA.GEN_AI_REQUEST_MAX_TOKENS,
+            "temperature": SPANDATA.GEN_AI_REQUEST_TEMPERATURE,
+            "top_p": SPANDATA.GEN_AI_REQUEST_TOP_P,
+            "frequency_penalty": SPANDATA.GEN_AI_REQUEST_FREQUENCY_PENALTY,
+            "presence_penalty": SPANDATA.GEN_AI_REQUEST_PRESENCE_PENALTY,
+        }
+
+        # ModelSettings is a TypedDict (dict at runtime), so use dict access
+        if isinstance(settings, dict):
+            for setting_name, spandata_key in settings_map.items():
+                value = settings.get(setting_name)
+                if value is not None:
+                    context.span.set_attribute(spandata_key, value)  # type: ignore[arg-type]
+        else:
+            # Fallback for object-style settings
+            for setting_name, spandata_key in settings_map.items():
+                if hasattr(settings, setting_name):
+                    value = getattr(settings, setting_name)
+                    if value is not None:
+                        context.span.set_attribute(spandata_key, value)
+
     _set_available_tools(context.span, agent)
 
     # Set input messages (full conversation history)
diff --git a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
index e1786a7736..4fe07ac352 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
@@ -11,7 +11,6 @@
 from ..consts import SPAN_ORIGIN
 from ..utils import (
     _set_agent_data,
-    _set_model_data,
 )
 from .utils import (
     _serialize_binary_content_item,
@@ -53,7 +52,6 @@ def invoke_agent_span(
     )
 
     _set_agent_data(span, agent)
-    _set_model_data(span, agent, model_settings)
 
     # Add user prompt and system prompts if available and prompts are enabled
     if not sentry_sdk.get_client().options["data_collection"]["gen_ai"]["inputs"]:
diff --git a/sentry_sdk/integrations/pydantic_ai/utils.py b/sentry_sdk/integrations/pydantic_ai/utils.py
index fc27d72903..af3d449029 100644
--- a/sentry_sdk/integrations/pydantic_ai/utils.py
+++ b/sentry_sdk/integrations/pydantic_ai/utils.py
@@ -13,8 +13,6 @@
 
     from pydantic_ai import Agent
     from pydantic_ai.models import AbstractModel, Model
-    from pydantic_ai.realtime.settings import RealtimeModelSettings
-    from pydantic_ai.settings import ModelSettings
 
 
 def _set_agent_data(span: "Span", agent: "Optional[Agent]") -> None:
@@ -55,47 +53,6 @@ def _get_model_name(
         return str(model_obj)
 
 
-def _set_model_data(
-    span: "Span",
-    agent: "Optional[Agent]",
-    model_settings: "Optional[Union[ModelSettings, RealtimeModelSettings]]",
-) -> None:
-    """Set model-related data on a span.
-
-    Args:
-        span: The span to set data on
-        model: Model object (can be None, will try to get from agent if not provided)
-        model_settings: Model settings (can be None, will try to get from agent if not provided)
-    """
-    # Extract model settings
-    settings = model_settings
-    if not settings and agent and hasattr(agent, "model_settings"):
-        settings = agent.model_settings
-
-    if settings:
-        settings_map = {
-            "max_tokens": SPANDATA.GEN_AI_REQUEST_MAX_TOKENS,
-            "temperature": SPANDATA.GEN_AI_REQUEST_TEMPERATURE,
-            "top_p": SPANDATA.GEN_AI_REQUEST_TOP_P,
-            "frequency_penalty": SPANDATA.GEN_AI_REQUEST_FREQUENCY_PENALTY,
-            "presence_penalty": SPANDATA.GEN_AI_REQUEST_PRESENCE_PENALTY,
-        }
-
-        # ModelSettings is a TypedDict (dict at runtime), so use dict access
-        if isinstance(settings, dict):
-            for setting_name, spandata_key in settings_map.items():
-                value = settings.get(setting_name)
-                if value is not None:
-                    span.set_attribute(spandata_key, value)  # type: ignore[arg-type]
-        else:
-            # Fallback for object-style settings
-            for setting_name, spandata_key in settings_map.items():
-                if hasattr(settings, setting_name):
-                    value = getattr(settings, setting_name)
-                    if value is not None:
-                        span.set_attribute(spandata_key, value)
-
-
 def _set_available_tools(span: "Span", agent: "Optional[Agent[Any, Any]]") -> None:
     """Set available tools data on a span from an agent's function toolset.