diff --git a/examples/foundational/07m-interruptible-aws-strands.py b/examples/foundational/07m-interruptible-aws-strands.py
index c65709a7b..e5c6f6f01 100644
--- a/examples/foundational/07m-interruptible-aws-strands.py
+++ b/examples/foundational/07m-interruptible-aws-strands.py
@@ -104,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     # Create Strands agent processor
     try:
-        agent = build_agent(model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0", max_tokens=8000)
+        agent = build_agent(model_id="us.anthropic.claude-sonnet-4-6", max_tokens=8000)
         llm = StrandsAgentsProcessor(agent=agent)
         logger.info("Successfully created Strands agent for NAB customer service coaching")
     except Exception as e:
@@ -152,7 +152,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                     messages=[
                         {
                             "role": "user",
-                            "content": f"Greet the user and introduce yourself.",
+                            "content": f"Greet the user and introduce yourself. Don't use emojis.",
                         }
                     ],
                     run_llm=True,
diff --git a/examples/foundational/07m-interruptible-aws.py b/examples/foundational/07m-interruptible-aws.py
index 9cea445c9..8ddec82ef 100644
--- a/examples/foundational/07m-interruptible-aws.py
+++ b/examples/foundational/07m-interruptible-aws.py
@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
         settings=AWSBedrockLLMSettings(
-            model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
+            model="us.anthropic.claude-sonnet-4-6",
             temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
diff --git a/examples/foundational/12b-describe-image-aws.py b/examples/foundational/12b-describe-image-aws.py
index eaa5e3d19..86ec2e66d 100644
--- a/examples/foundational/12b-describe-image-aws.py
+++ b/examples/foundational/12b-describe-image-aws.py
@@ -61,11 +61,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
         settings=AWSBedrockLLMSettings(
-            model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
-            # Note: usually, prefer providing latency="optimized" param.
-            # Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
-            # which we need for image input.
-            params=AWSBedrockLLMService.InputParams(temperature=0.8),
+            model="us.anthropic.claude-sonnet-4-6",
+            temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are also able to describe images.",
         ),
     )
diff --git a/examples/foundational/14r-function-calling-aws.py b/examples/foundational/14r-function-calling-aws.py
index 3693cba6c..2414e06f0 100644
--- a/examples/foundational/14r-function-calling-aws.py
+++ b/examples/foundational/14r-function-calling-aws.py
@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
         settings=AWSBedrockLLMSettings(
-            model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
+            model="us.anthropic.claude-sonnet-4-6",
             temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
diff --git a/examples/foundational/55zp-update-settings-aws-bedrock-llm.py b/examples/foundational/55zp-update-settings-aws-bedrock-llm.py
index 0ae2e0c57..06a131814 100644
--- a/examples/foundational/55zp-update-settings-aws-bedrock-llm.py
+++ b/examples/foundational/55zp-update-settings-aws-bedrock-llm.py
@@ -62,7 +62,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
         settings=AWSBedrockLLMSettings(
-            model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
+            model="us.anthropic.claude-sonnet-4-6",
             temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),