diff --git a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py
index 22422c331d2b..576058625023 100644
--- a/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py
+++ b/python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py
@@ -302,6 +302,8 @@ def _create_chat_message_content(
         items: list[CMC_ITEM_TYPES] = []
         if candidate.content and candidate.content.parts:
             for idx, part in enumerate(candidate.content.parts):
+                if getattr(part, "thought", False) is True:
+                    continue
                 if part.text:
                     items.append(TextContent(text=part.text, inner_content=response, metadata=response_metadata))
                 elif part.function_call:
@@ -357,6 +359,8 @@ def _create_streaming_chat_message_content(
         items: list[STREAMING_ITEM_TYPES] = []
         if candidate.content and candidate.content.parts:
             for idx, part in enumerate(candidate.content.parts):
+                if getattr(part, "thought", False) is True:
+                    continue
                 if part.text:
                     items.append(
                         StreamingTextContent(
diff --git a/python/tests/unit/connectors/ai/google/google_ai/services/test_google_ai_chat_completion.py b/python/tests/unit/connectors/ai/google/google_ai/services/test_google_ai_chat_completion.py
index a0dc2e786195..cc87b0364e13 100644
--- a/python/tests/unit/connectors/ai/google/google_ai/services/test_google_ai_chat_completion.py
+++ b/python/tests/unit/connectors/ai/google/google_ai/services/test_google_ai_chat_completion.py
@@ -5,7 +5,15 @@
 import pytest
 from google.genai import Client
 from google.genai.models import AsyncModels
-from google.genai.types import Content, GenerateContentConfigDict
+from google.genai.types import (
+    Candidate,
+    Content,
+    FinishReason as GoogleFinishReason,
+    GenerateContentConfigDict,
+    GenerateContentResponse,
+    GenerateContentResponseUsageMetadata,
+    Part,
+)
 
 from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceBehavior
 from semantic_kernel.connectors.ai.google.google_ai.google_ai_prompt_execution_settings import (
@@ -259,6 +267,63 @@ async def test_google_ai_chat_completion_with_function_choice_behavior_no_tool_c
 # endregion chat completion
 
 
+def test_google_ai_chat_completion_filters_thought_text_parts(google_ai_unit_test_env) -> None:
+    google_ai_chat_completion = GoogleAIChatCompletion()
+
+    candidate = Candidate()
+    candidate.index = 0
+    candidate.content = Content(role="model", parts=[])
+    candidate.finish_reason = GoogleFinishReason.STOP
+
+    thinking_part = Part.from_text(text="internal reasoning")
+    thinking_part.thought = True  # type: ignore[attr-defined]
+    answer_part = Part.from_text(text="final answer")
+
+    candidate.content.parts.extend([thinking_part, answer_part])
+
+    response = GenerateContentResponse()
+    response.candidates = [candidate]
+    response.usage_metadata = GenerateContentResponseUsageMetadata(
+        prompt_token_count=0,
+        cached_content_token_count=0,
+        candidates_token_count=0,
+        total_token_count=0,
+    )
+
+    message = google_ai_chat_completion._create_chat_message_content(response, candidate)
+
+    assert message.content == "final answer"
+    assert len(message.items) == 1
+
+
+def test_google_ai_streaming_chat_completion_filters_thought_text_parts(google_ai_unit_test_env) -> None:
+    google_ai_chat_completion = GoogleAIChatCompletion()
+
+    candidate = Candidate()
+    candidate.index = 0
+    candidate.content = Content(role="model", parts=[])
+    candidate.finish_reason = GoogleFinishReason.STOP
+
+    thinking_part = Part.from_text(text="internal reasoning")
+    thinking_part.thought = True  # type: ignore[attr-defined]
+    answer_part = Part.from_text(text="streamed answer")
+    candidate.content.parts.extend([thinking_part, answer_part])
+
+    response = GenerateContentResponse()
+    response.candidates = [candidate]
+    response.usage_metadata = GenerateContentResponseUsageMetadata(
+        prompt_token_count=0,
+        cached_content_token_count=0,
+        candidates_token_count=0,
+        total_token_count=0,
+    )
+
+    message = google_ai_chat_completion._create_streaming_chat_message_content(response, candidate)
+
+    assert message.content == "streamed answer"
+    assert len(message.items) == 1
+
+
 # region streaming chat completion