diff --git a/libs/agno/agno/models/defaults.py b/libs/agno/agno/models/defaults.py
index d68d23efdc..0f9f26ed23 100644
--- a/libs/agno/agno/models/defaults.py
+++ b/libs/agno/agno/models/defaults.py
@@ -1 +1 @@
-DEFAULT_OPENAI_MODEL_ID: str = "gpt-4o"
+DEFAULT_OPENAI_MODEL_ID: str = "gpt-5.4-mini"
diff --git a/libs/agno/agno/models/fireworks/fireworks.py b/libs/agno/agno/models/fireworks/fireworks.py
index 8e3a0b8fee..837cae9840 100644
--- a/libs/agno/agno/models/fireworks/fireworks.py
+++ b/libs/agno/agno/models/fireworks/fireworks.py
@@ -12,14 +12,14 @@ class Fireworks(OpenAILike):
     A class for interacting with models hosted on Fireworks.
 
     Attributes:
-        id (str): The model name to use. Defaults to "accounts/fireworks/models/llama-v3p1-405b-instruct".
+        id (str): The model name to use. Defaults to "accounts/fireworks/models/gpt-oss-120b".
         name (str): The model name to use. Defaults to "Fireworks".
         provider (str): The provider to use. Defaults to "Fireworks".
         api_key (Optional[str]): The API key to use.
         base_url (str): The base URL to use. Defaults to "https://api.fireworks.ai/inference/v1".
     """
 
-    id: str = "accounts/fireworks/models/llama-v3p1-405b-instruct"
+    id: str = "accounts/fireworks/models/gpt-oss-120b"
     name: str = "Fireworks"
     provider: str = "Fireworks"
 
diff --git a/libs/agno/agno/models/google/gemini.py b/libs/agno/agno/models/google/gemini.py
index fcf52080cf..4616fff47f 100644
--- a/libs/agno/agno/models/google/gemini.py
+++ b/libs/agno/agno/models/google/gemini.py
@@ -78,7 +78,7 @@ class Gemini(Model):
     Based on https://googleapis.github.io/python-genai/
     """
 
-    id: str = "gemini-2.0-flash-001"
+    id: str = "gemini-flash-latest"
     name: str = "Gemini"
     provider: str = "Google"
 
diff --git a/libs/agno/agno/models/moonshot/moonshot.py b/libs/agno/agno/models/moonshot/moonshot.py
index f0152516b6..1419417357 100644
--- a/libs/agno/agno/models/moonshot/moonshot.py
+++ b/libs/agno/agno/models/moonshot/moonshot.py
@@ -12,14 +12,14 @@ class MoonShot(OpenAILike):
     A class for interacting with MoonShot models.
 
     Attributes:
-        id (str): The model id. Defaults to "kimi-k2-thinking".
+        id (str): The model id. Defaults to "kimi-k2.5".
         name (str): The model name. Defaults to "Moonshot".
         provider (str): The provider name. Defaults to "Moonshot".
         api_key (Optional[str]): The API key.
         base_url (str): The base URL. Defaults to "https://api.moonshot.ai/v1".
     """
 
-    id: str = "kimi-k2-thinking"
+    id: str = "kimi-k2.5"
     name: str = "Moonshot"
     provider: str = "Moonshot"
 
diff --git a/libs/agno/agno/models/openai/chat.py b/libs/agno/agno/models/openai/chat.py
index dc4aa198cf..111e129f45 100644
--- a/libs/agno/agno/models/openai/chat.py
+++ b/libs/agno/agno/models/openai/chat.py
@@ -38,7 +38,7 @@ class OpenAIChat(Model):
     For more information, see: https://platform.openai.com/docs/api-reference/chat/create
     """
 
-    id: str = "gpt-4o"
+    id: str = "gpt-5.4-mini"
     name: str = "OpenAIChat"
     provider: str = "OpenAI"
     supports_native_structured_outputs: bool = True
diff --git a/libs/agno/agno/models/openai/responses.py b/libs/agno/agno/models/openai/responses.py
index 5e6f197b18..86eae73aa7 100644
--- a/libs/agno/agno/models/openai/responses.py
+++ b/libs/agno/agno/models/openai/responses.py
@@ -35,7 +35,7 @@ class OpenAIResponses(Model):
     For more information, see: https://platform.openai.com/docs/api-reference/responses
     """
 
-    id: str = "gpt-4o"
+    id: str = "gpt-5.4-mini"
     name: str = "OpenAIResponses"
     provider: str = "OpenAI"
     supports_native_structured_outputs: bool = True
diff --git a/libs/agno/agno/models/openrouter/openrouter.py b/libs/agno/agno/models/openrouter/openrouter.py
index be163a3b68..c7652e6280 100644
--- a/libs/agno/agno/models/openrouter/openrouter.py
+++ b/libs/agno/agno/models/openrouter/openrouter.py
@@ -18,7 +18,7 @@ class OpenRouter(OpenAILike):
     A class for using models hosted on OpenRouter.
 
     Attributes:
-        id (str): The model id. Defaults to "gpt-4o".
+        id (str): The model id. Defaults to "gpt-5.4-mini".
         name (str): The model name. Defaults to "OpenRouter".
         provider (str): The provider name. Defaults to "OpenRouter".
         api_key (Optional[str]): The API key.
@@ -29,7 +29,7 @@ class OpenRouter(OpenAILike):
             these models in order. Example: ["anthropic/claude-sonnet-4", "deepseek/deepseek-r1"]
     """
 
-    id: str = "gpt-4o"
+    id: str = "gpt-5.4-mini"
     name: str = "OpenRouter"
     provider: str = "OpenRouter"
 
diff --git a/libs/agno/agno/models/together/together.py b/libs/agno/agno/models/together/together.py
index c08dc7a2c3..f64d2a7bb9 100644
--- a/libs/agno/agno/models/together/together.py
+++ b/libs/agno/agno/models/together/together.py
@@ -12,14 +12,14 @@ class Together(OpenAILike):
     A class for interacting with Together API.
 
     Attributes:
-        id (str): The id of the Together model to use. Default is "mistralai/Mixtral-8x7B-Instruct-v0.1".
+        id (str): The id of the Together model to use. Default is "MiniMaxAI/MiniMax-M2.7".
         name (str): The name of this chat model instance. Default is "Together"
         provider (str): The provider of the model. Default is "Together".
         api_key (str): The api key to authorize request to Together.
         base_url (str): The base url to which the requests are sent. Defaults to "https://api.together.xyz/v1".
     """
 
-    id: str = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+    id: str = "MiniMaxAI/MiniMax-M2.7"
     name: str = "Together"
     provider: str = "Together"
     api_key: Optional[str] = None
diff --git a/libs/agno/agno/models/xai/xai.py b/libs/agno/agno/models/xai/xai.py
index e8c4c554f8..b0190ab364 100644
--- a/libs/agno/agno/models/xai/xai.py
+++ b/libs/agno/agno/models/xai/xai.py
@@ -23,7 +23,7 @@ class xAI(OpenAILike):
     Class for interacting with the xAI API.
 
     Attributes:
-        id (str): The ID of the language model. Defaults to "grok-beta".
+        id (str): The ID of the language model. Defaults to "grok-4-1-fast-non-reasoning-latest".
         name (str): The name of the API. Defaults to "xAI".
         provider (str): The provider of the API. Defaults to "xAI".
         api_key (Optional[str]): The API key for the xAI API.
@@ -31,7 +31,7 @@ class xAI(OpenAILike):
         search_parameters (Optional[Dict[str, Any]]): Search parameters for enabling live search.
     """
 
-    id: str = "grok-beta"
+    id: str = "grok-4-1-fast-non-reasoning-latest"
     name: str = "xAI"
     provider: str = "xAI"
 
diff --git a/libs/agno/tests/integration/agent/test_parser_model.py b/libs/agno/tests/integration/agent/test_parser_model.py
index 573a6740de..1a56ac6108 100644
--- a/libs/agno/tests/integration/agent/test_parser_model.py
+++ b/libs/agno/tests/integration/agent/test_parser_model.py
@@ -70,7 +70,7 @@ def test_openai_with_claude_parser_model():
 
 def test_gemini_with_openai_parser_model():
     park_agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),  # Main model to generate the content
+        model=Gemini(id="gemini-flash-latest"),  # Main model to generate the content
         description="You are an expert on national parks and provide concise guides.",
         output_schema=ParkGuide,
         parser_model=OpenAIChat(id="gpt-4o"),  # Model to parse the output
diff --git a/libs/agno/tests/integration/knowledge/filters/test_agentic_filtering.py b/libs/agno/tests/integration/knowledge/filters/test_agentic_filtering.py
index fdaa1835b6..ec8a67a268 100644
--- a/libs/agno/tests/integration/knowledge/filters/test_agentic_filtering.py
+++ b/libs/agno/tests/integration/knowledge/filters/test_agentic_filtering.py
@@ -173,7 +173,7 @@ async def test_agentic_filtering_openai_with_output_schema(knowledge_base):
 
 @pytest.mark.skipif(not os.environ.get("GOOGLE_API_KEY"), reason="GOOGLE_API_KEY not set")
 async def test_agentic_filtering_gemini(knowledge_base):
-    agent = Agent(model=Gemini("gemini-2.0-flash-001"), knowledge=knowledge_base, enable_agentic_knowledge_filters=True)
+    agent = Agent(model=Gemini("gemini-flash-latest"), knowledge=knowledge_base, enable_agentic_knowledge_filters=True)
     response = await agent.arun(
         "Tell me about revenue performance and top selling products in the region north_america and data_type sales",
         markdown=True,
diff --git a/libs/agno/tests/integration/models/fireworks/test_basic.py b/libs/agno/tests/integration/models/fireworks/test_basic.py
index 8d9be543c7..0aa1298946 100644
--- a/libs/agno/tests/integration/models/fireworks/test_basic.py
+++ b/libs/agno/tests/integration/models/fireworks/test_basic.py
@@ -117,7 +117,7 @@ class MovieScript(BaseModel):
         plot: str = Field(..., description="Brief plot summary")
 
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         output_schema=MovieScript,
         telemetry=False,
     )
@@ -138,7 +138,7 @@ class MovieScript(BaseModel):
         plot: str = Field(..., description="Brief plot summary")
 
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         output_schema=MovieScript,
         use_json_mode=True,
         telemetry=False,
diff --git a/libs/agno/tests/integration/models/fireworks/test_structured_response.py b/libs/agno/tests/integration/models/fireworks/test_structured_response.py
index f9cc15ae42..dffd050fd9 100644
--- a/libs/agno/tests/integration/models/fireworks/test_structured_response.py
+++ b/libs/agno/tests/integration/models/fireworks/test_structured_response.py
@@ -24,7 +24,7 @@ class MovieScript(BaseModel):
 
 def test_structured_response():
     structured_output_agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         description="You help people write movie scripts.",
         output_schema=MovieScript,
     )
@@ -52,7 +52,7 @@ class Recipe(BaseModel):
         rating: Grade
 
     structured_output_agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         description="You help generate recipe names and ratings.",
         output_schema=Recipe,
     )
diff --git a/libs/agno/tests/integration/models/fireworks/test_tool_use.py b/libs/agno/tests/integration/models/fireworks/test_tool_use.py
index c9ee786f60..0ab3cc1eea 100644
--- a/libs/agno/tests/integration/models/fireworks/test_tool_use.py
+++ b/libs/agno/tests/integration/models/fireworks/test_tool_use.py
@@ -11,7 +11,7 @@
 
 def test_tool_use():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -28,7 +28,7 @@ def test_tool_use():
 
 def test_tool_use_stream():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -55,7 +55,7 @@ def test_tool_use_stream():
 @pytest.mark.asyncio
 async def test_async_tool_use():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -73,7 +73,7 @@ async def test_async_tool_use():
 @pytest.mark.asyncio
 async def test_async_tool_use_stream():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -92,7 +92,7 @@ async def test_async_tool_use_stream():
 
 def test_parallel_tool_calls():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -113,7 +113,7 @@ def test_parallel_tool_calls():
 
 def test_multiple_tool_calls():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[YFinanceTools(cache_results=True), WebSearchTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -140,7 +140,7 @@ def get_the_weather_in_tokyo():
         return "It is currently 70 degrees and cloudy in Tokyo"
 
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[get_the_weather_in_tokyo],
         markdown=True,
         telemetry=False,
@@ -169,7 +169,7 @@ def get_the_weather(city: Optional[str] = None):
             return f"It is currently 70 degrees and cloudy in {city}"
 
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[get_the_weather],
         markdown=True,
         telemetry=False,
@@ -186,7 +186,7 @@ def get_the_weather(city: Optional[str] = None):
 
 def test_tool_call_list_parameters():
     agent = Agent(
-        model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
+        model=Fireworks(id="accounts/fireworks/models/gpt-oss-120b"),
         tools=[ExaTools()],
         instructions="Use a single tool call if possible",
         markdown=True,
diff --git a/libs/agno/tests/integration/models/google/test_multimodal.py b/libs/agno/tests/integration/models/google/test_multimodal.py
index fbaef75ca3..4a10895948 100644
--- a/libs/agno/tests/integration/models/google/test_multimodal.py
+++ b/libs/agno/tests/integration/models/google/test_multimodal.py
@@ -12,7 +12,7 @@
 
 def test_image_input(image_path):
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
@@ -37,7 +37,7 @@ def test_audio_input_bytes():
 
     # Provide the agent with the audio file and get result as text
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
@@ -50,7 +50,7 @@ def test_audio_input_bytes():
 
 def test_audio_input_url():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
@@ -67,7 +67,7 @@ def test_audio_input_url():
 
 def test_video_input_bytes():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
@@ -255,7 +255,7 @@ def test_combined_text_and_image_generation():
 
 def test_file_input_bytes():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
@@ -276,7 +276,7 @@ def test_file_input_bytes():
 
 def test_file_input_with_text_prompt():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         exponential_backoff=True,
         delay_between_retries=5,
         markdown=True,
diff --git a/libs/agno/tests/integration/models/google/test_retryable_exceptions.py b/libs/agno/tests/integration/models/google/test_retryable_exceptions.py
index 33f957b838..1fee505003 100644
--- a/libs/agno/tests/integration/models/google/test_retryable_exceptions.py
+++ b/libs/agno/tests/integration/models/google/test_retryable_exceptions.py
@@ -15,7 +15,7 @@
 @pytest.fixture
 def model():
     """Fixture to create a Gemini model."""
-    return Gemini(id="gemini-2.0-flash-001")
+    return Gemini(id="gemini-flash-latest")
 
 
 def create_mock_response(finish_reason: str = "STOP", content: str = "Test response"):
diff --git a/libs/agno/tests/integration/models/google/test_tool_use.py b/libs/agno/tests/integration/models/google/test_tool_use.py
index c4072af48b..5ea2a2dad4 100644
--- a/libs/agno/tests/integration/models/google/test_tool_use.py
+++ b/libs/agno/tests/integration/models/google/test_tool_use.py
@@ -119,7 +119,7 @@ def get_weather(city: str) -> str:
         return f"The weather in {city} is sunny."
 
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         tools=[get_weather],
         tool_choice="none",
         markdown=True,
@@ -142,7 +142,7 @@ def get_weather(city: str) -> str:
         return f"The weather in {city} is sunny."
 
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         tools=[get_weather],
         tool_choice="auto",
         markdown=True,
@@ -185,7 +185,7 @@ class StockPrice(BaseModel):
         currency: str = Field(..., description="The currency of the stock")
 
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001"),
+        model=Gemini(id="gemini-flash-latest"),
         tools=[YFinanceTools(cache_results=True)],
         exponential_backoff=True,
         delay_between_retries=5,
@@ -250,7 +250,7 @@ def test_multiple_tool_calls():
 
 def test_grounding():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001", grounding=True),
+        model=Gemini(id="gemini-flash-latest", grounding=True),
         exponential_backoff=True,
         delay_between_retries=5,
         telemetry=False,
@@ -267,7 +267,7 @@ def test_grounding():
 
 def test_grounding_stream():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001", grounding=True),
+        model=Gemini(id="gemini-flash-latest", grounding=True),
         exponential_backoff=True,
         delay_between_retries=5,
         telemetry=False,
@@ -289,7 +289,7 @@ def test_grounding_stream():
 
 def test_search_stream():
     agent = Agent(
-        model=Gemini(id="gemini-2.0-flash-001", search=True),
+        model=Gemini(id="gemini-flash-latest", search=True),
         exponential_backoff=True,
         delay_between_retries=5,
         telemetry=False,
diff --git a/libs/agno/tests/integration/models/openrouter/test_basic.py b/libs/agno/tests/integration/models/openrouter/test_basic.py
index 5f0a64c5e1..ab1b4f0e49 100644
--- a/libs/agno/tests/integration/models/openrouter/test_basic.py
+++ b/libs/agno/tests/integration/models/openrouter/test_basic.py
@@ -22,7 +22,7 @@ def _assert_metrics(response: RunOutput):
 
 
 def test_basic():
-    agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True, telemetry=False)
+    agent = Agent(model=OpenRouter(id="gpt-5.4-mini"), markdown=True, telemetry=False)
 
     response: RunOutput = agent.run("Share a 2 sentence horror story")
 
@@ -35,7 +35,7 @@ def test_basic():
 
 
 def test_basic_stream():
-    agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True, telemetry=False)
+    agent = Agent(model=OpenRouter(id="gpt-5.4-mini"), markdown=True, telemetry=False)
 
     response_stream = agent.run("Share a 2 sentence horror story", stream=True)
 
@@ -50,7 +50,7 @@ def test_basic_stream():
 
 @pytest.mark.asyncio
 async def test_async_basic():
-    agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True, telemetry=False)
+    agent = Agent(model=OpenRouter(id="gpt-5.4-mini"), markdown=True, telemetry=False)
 
     response = await agent.arun("Share a 2 sentence horror story")
 
@@ -63,7 +63,7 @@ async def test_async_basic():
 
 @pytest.mark.asyncio
 async def test_async_basic_stream():
-    agent = Agent(model=OpenRouter(id="gpt-4o"), markdown=True, telemetry=False)
+    agent = Agent(model=OpenRouter(id="gpt-5.4-mini"), markdown=True, telemetry=False)
 
     async for response in agent.arun("Share a 2 sentence horror story", stream=True):
         assert response.content is not None
@@ -71,7 +71,7 @@ async def test_async_basic_stream():
 
 def test_with_memory():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         db=InMemoryDb(),
         add_history_to_context=True,
         markdown=True,
@@ -103,7 +103,7 @@ class MovieScript(BaseModel):
         plot: str = Field(..., description="Brief plot summary")
 
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         markdown=True,
         telemetry=False,
         output_schema=MovieScript,
@@ -125,7 +125,7 @@ class MovieScript(BaseModel):
         plot: str = Field(..., description="Brief plot summary")
 
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         use_json_mode=True,
         telemetry=False,
         output_schema=MovieScript,
@@ -142,7 +142,7 @@ class MovieScript(BaseModel):
 
 def test_history():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         db=SqliteDb(db_file="tmp/openrouter/test_basic.db"),
         add_history_to_context=True,
         store_history_messages=True,
diff --git a/libs/agno/tests/integration/models/openrouter/test_structured_response.py b/libs/agno/tests/integration/models/openrouter/test_structured_response.py
index 21e080c67e..333f60670b 100644
--- a/libs/agno/tests/integration/models/openrouter/test_structured_response.py
+++ b/libs/agno/tests/integration/models/openrouter/test_structured_response.py
@@ -24,7 +24,7 @@ class MovieScript(BaseModel):
 
 def test_structured_response():
     structured_output_agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         description="You help people write movie scripts.",
         output_schema=MovieScript,
     )
@@ -52,7 +52,7 @@ class Recipe(BaseModel):
         rating: Grade
 
     structured_output_agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         description="You help generate recipe names and ratings.",
         output_schema=Recipe,
     )
@@ -65,7 +65,7 @@ class Recipe(BaseModel):
 def test_structured_response_strict_output_false():
     """Test structured response with strict_output=False (guided mode)"""
     guided_output_agent = Agent(
-        model=OpenRouter(id="gpt-4o", strict_output=False),
+        model=OpenRouter(id="gpt-5.4-mini", strict_output=False),
         description="You write movie scripts.",
         output_schema=MovieScript,
     )
diff --git a/libs/agno/tests/integration/models/openrouter/test_tool_use.py b/libs/agno/tests/integration/models/openrouter/test_tool_use.py
index 56d5a6d086..3f9c19b9af 100644
--- a/libs/agno/tests/integration/models/openrouter/test_tool_use.py
+++ b/libs/agno/tests/integration/models/openrouter/test_tool_use.py
@@ -11,7 +11,7 @@
 
 def test_tool_use():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -28,7 +28,7 @@ def test_tool_use():
 
 def test_tool_use_stream():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -53,7 +53,7 @@ def test_tool_use_stream():
 @pytest.mark.asyncio
 async def test_async_tool_use():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -71,7 +71,7 @@ async def test_async_tool_use():
 @pytest.mark.asyncio
 async def test_async_tool_use_stream():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[YFinanceTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -95,7 +95,7 @@ async def test_async_tool_use_stream():
 
 def test_multiple_tool_calls():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[YFinanceTools(cache_results=True), WebSearchTools(cache_results=True)],
         markdown=True,
         telemetry=False,
@@ -122,7 +122,7 @@ def get_the_weather_in_tokyo():
         return "It is currently 70 degrees and cloudy in Tokyo"
 
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[get_the_weather_in_tokyo],
         markdown=True,
         telemetry=False,
@@ -151,7 +151,7 @@ def get_the_weather(city: Optional[str] = None):
             return f"It is currently 70 degrees and cloudy in {city}"
 
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[get_the_weather],
         markdown=True,
         telemetry=False,
@@ -168,7 +168,7 @@ def get_the_weather(city: Optional[str] = None):
 
 def test_tool_call_list_parameters():
     agent = Agent(
-        model=OpenRouter(id="gpt-4o"),
+        model=OpenRouter(id="gpt-5.4-mini"),
         tools=[ExaTools()],
         instructions="Use a single tool call if possible",
         markdown=True,
diff --git a/libs/agno/tests/unit/models/moonshot/test_moonshot.py b/libs/agno/tests/unit/models/moonshot/test_moonshot.py
index 057f14e253..ebed0c6f1b 100644
--- a/libs/agno/tests/unit/models/moonshot/test_moonshot.py
+++ b/libs/agno/tests/unit/models/moonshot/test_moonshot.py
@@ -8,15 +8,15 @@
 
 
 def test_moonshot_initialization_with_api_key():
-    model = MoonShot(id="kimi-k2-thinking", api_key="test-api-key")
-    assert model.id == "kimi-k2-thinking"
+    model = MoonShot(id="kimi-k2.5", api_key="test-api-key")
+    assert model.id == "kimi-k2.5"
     assert model.api_key == "test-api-key"
     assert model.base_url == "https://api.moonshot.ai/v1"
 
 
 def test_moonshot_initialization_without_api_key():
     with patch.dict(os.environ, {}, clear=True):
-        model = MoonShot(id="kimi-k2-thinking")
+        model = MoonShot(id="kimi-k2.5")
         client_params = None
         with pytest.raises(ModelAuthenticationError):
             client_params = model._get_client_params()
@@ -25,12 +25,12 @@ def test_moonshot_initialization_without_api_key():
 
 def test_moonshot_initialization_with_env_api_key():
     with patch.dict(os.environ, {"MOONSHOT_API_KEY": "env-api-key"}):
-        model = MoonShot(id="kimi-k2-thinking")
+        model = MoonShot(id="kimi-k2.5")
         assert model.api_key == "env-api-key"
 
 
 def test_moonshot_client_params():
-    model = MoonShot(id="kimi-k2-thinking", api_key="test-api-key")
+    model = MoonShot(id="kimi-k2.5", api_key="test-api-key")
     client_params = model._get_client_params()
     assert client_params["api_key"] == "test-api-key"
     assert client_params["base_url"] == "https://api.moonshot.ai/v1"