diff --git a/google/genai/types.py b/google/genai/types.py
index 24d739ee8..d07cc7e16 100644
--- a/google/genai/types.py
+++ b/google/genai/types.py
@@ -6473,7 +6473,7 @@ class GenerateContentConfig(_common.BaseModel):
       """,
   )
   top_p: Optional[float] = Field(
-      default=None,
+      default=0.95,
       description="""Tokens are selected from the most to least probable until the sum
       of their probabilities equals this value. Use a lower value for less
       random responses and a higher value for more random responses.
@@ -10914,7 +10914,7 @@ class Model(_common.BaseModel):
       dataset was saved. This value is used to tune the degree of randomness.""",
   )
   top_p: Optional[float] = Field(
-      default=None,
+      default=0.95,
       description="""Optional. Specifies the nucleus sampling threshold. The model
       considers only the smallest set of tokens whose cumulative probability is
       at least `top_p`. This helps generate more diverse and less repetitive
@@ -11504,7 +11504,7 @@ class GenerationConfig(_common.BaseModel):
       description="""Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.""",
   )
   top_p: Optional[float] = Field(
-      default=None,
+      default=0.95,
       description="""Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.""",
   )
   enable_enhanced_civic_answers: Optional[bool] = Field(
@@ -21582,7 +21582,7 @@ class LiveConnectConfig(_common.BaseModel):
       """,
   )
   top_p: Optional[float] = Field(
-      default=None,
+      default=0.95,
       description="""Tokens are selected from the most to least probable until the sum
       of their probabilities equals this value. Use a lower value for less
       random responses and a higher value for more random responses.