diff --git a/tests/models/mistral/test_modeling_mistral.py b/tests/models/mistral/test_modeling_mistral.py
index cd6459c170dc..1723d55afc8a 100644
--- a/tests/models/mistral/test_modeling_mistral.py
+++ b/tests/models/mistral/test_modeling_mistral.py
@@ -254,7 +254,7 @@ def test_model_7b_long_prompt_sdpa(self):
 
     @slow
     def test_speculative_generation(self):
-        EXPECTED_TEXT_COMPLETION = "My favourite condiment is 100% Sriracha. I love it on everything. I have it on my"
+        EXPECTED_TEXT_COMPLETION = "My favourite condiment is 100% ketchup. I’m not a fan of mustard, relish"
         prompt = "My favourite condiment is "
         tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1", use_fast=False)
         model = MistralForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1", device_map="auto", dtype=torch.float16)
diff --git a/tests/models/qwen2/test_modeling_qwen2.py b/tests/models/qwen2/test_modeling_qwen2.py
index d5c207fb9b8c..d4cf34fbbca2 100644
--- a/tests/models/qwen2/test_modeling_qwen2.py
+++ b/tests/models/qwen2/test_modeling_qwen2.py
@@ -207,7 +207,7 @@ def test_model_450m_long_prompt_sdpa(self):
     @slow
     def test_speculative_generation(self):
         EXPECTED_TEXT_COMPLETION = (
-            "My favourite condiment is 100% natural honey, and I always like to use it in my recipes. I love"
+            "My favourite condiment is 100% natural and organic, and I love to use it to make my own sauces."
         )
         prompt = "My favourite condiment is "
         tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B", use_fast=False)
diff --git a/tests/models/qwen2_moe/test_modeling_qwen2_moe.py b/tests/models/qwen2_moe/test_modeling_qwen2_moe.py
index 02eb4dfb4643..db3be5ac7e20 100644
--- a/tests/models/qwen2_moe/test_modeling_qwen2_moe.py
+++ b/tests/models/qwen2_moe/test_modeling_qwen2_moe.py
@@ -252,7 +252,7 @@ def test_model_a2_7b_long_prompt_sdpa(self):
     @slow
     def test_speculative_generation(self):
         EXPECTED_TEXT_COMPLETION = (
-            "To be or not to be, that is the question. Whether 'tis nobler in the mind to suffer the sl"
+            "To be or not to be, that is the question: Whether 'tis nobler in the mind to suffer The sl"
         )
         prompt = "To be or not to"
         tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-MoE-A2.7B", use_fast=False)
diff --git a/tests/models/qwen3/test_modeling_qwen3.py b/tests/models/qwen3/test_modeling_qwen3.py
index 169d7ee784a0..ba937656d3a6 100644
--- a/tests/models/qwen3/test_modeling_qwen3.py
+++ b/tests/models/qwen3/test_modeling_qwen3.py
@@ -199,7 +199,7 @@ def test_speculative_generation(self):
             {
                 ("xpu", 3): "My favourite condiment is 100% peanut butter. I love it so much that I can't help but use it",
                 ("cuda", 7): "My favourite condiment is 100% natural. It's a little spicy and a little sweet, but it's the",
-                ("cuda", 8): "My favourite condiment is 100% peanut butter. I love it so much that I can't help but use it",
+                ("cuda", 8): "My favourite condiment is 100% beef, 100% beef, 100% beef.",
             }
         )  # fmt: skip
         EXPECTED_TEXT_COMPLETION = EXPECTED_TEXT_COMPLETIONS.get_expectation()