diff --git a/src/crewai/crew.py b/src/crewai/crew.py
index c1b80aa7c..f67161e2c 100644
--- a/src/crewai/crew.py
+++ b/src/crewai/crew.py
@@ -967,15 +967,18 @@ class Crew(BaseModel):
 
         return total_usage_metrics
 
-    def test(
-        self, n_iterations: int, model: str, inputs: Optional[Dict[str, Any]] = None
+    async def test(
+        self,
+        n_iterations: int,
+        openai_model_name: str,
+        inputs: Optional[Dict[str, Any]] = None,
     ) -> None:
         """Test and evaluate the Crew with the given inputs for n iterations."""
-        evaluator = CrewEvaluator(self, model)
+        evaluator = CrewEvaluator(self, openai_model_name)
 
         for i in range(1, n_iterations + 1):
             evaluator.set_iteration(i)
-            self.kickoff(inputs=inputs)
+            await self.kickoff_async(inputs=inputs)
 
         evaluator.print_crew_evaluation_result()
 
diff --git a/src/crewai/utilities/evaluators/crew_evaluator_handler.py b/src/crewai/utilities/evaluators/crew_evaluator_handler.py
index 858b05650..3f1abb8b8 100644
--- a/src/crewai/utilities/evaluators/crew_evaluator_handler.py
+++ b/src/crewai/utilities/evaluators/crew_evaluator_handler.py
@@ -22,7 +22,7 @@ class CrewEvaluator:
 
     Attributes:
         crew (Crew): The crew of agents to evaluate.
-        model (str): The model to use for evaluating the performance of the agents (for now ONLY OpenAI accepted).
+        openai_model_name (str): The model to use for evaluating the performance of the agents (for now ONLY OpenAI accepted).
         tasks_scores (defaultdict): A dictionary to store the scores of the agents for each task.
         iteration (int): The current iteration of the evaluation.
     """
@@ -30,9 +30,9 @@ class CrewEvaluator:
     tasks_scores: defaultdict = defaultdict(list)
     iteration: int = 0
 
-    def __init__(self, crew, model: str):
+    def __init__(self, crew, openai_model_name: str):
         self.crew = crew
-        self.model = model
+        self.openai_model_name = openai_model_name
         self._setup_for_evaluating()
 
     def _setup_for_evaluating(self) -> None:
@@ -51,7 +51,7 @@ class CrewEvaluator:
             ),
             backstory="Evaluator agent for crew evaluation with precise capabilities to evaluate the performance of the agents in the crew based on the tasks they have performed",
             verbose=False,
-            llm=ChatOpenAI(model=self.model),
+            llm=ChatOpenAI(model=self.openai_model_name),
         )
 
     def _evaluation_task(
diff --git a/tests/utilities/evaluators/test_crew_evaluator_handler.py b/tests/utilities/evaluators/test_crew_evaluator_handler.py
index 76ef5f6be..39fa35c44 100644
--- a/tests/utilities/evaluators/test_crew_evaluator_handler.py
+++ b/tests/utilities/evaluators/test_crew_evaluator_handler.py
@@ -8,6 +8,7 @@ from crewai.task import Task
 from crewai.tasks.task_output import TaskOutput
 from crewai.utilities.evaluators.crew_evaluator_handler import (
     CrewEvaluator,
+    TaskEvaluationPydanticOutput,
 )
 
 
@@ -22,7 +23,7 @@ class TestCrewEvaluator:
         )
         crew = Crew(agents=[agent], tasks=[task])
 
-        return CrewEvaluator(crew, model="gpt-4o-mini")
+        return CrewEvaluator(crew, openai_model_name="gpt-4o-mini")
 
     def test_setup_for_evaluating(self, crew_planner):
         crew_planner._setup_for_evaluating()
@@ -107,6 +108,6 @@ class TestCrewEvaluator:
         )
 
         with mock.patch.object(Task, "execute_sync") as execute:
-            execute().pydantic.quality = 9.5
+            execute().pydantic = TaskEvaluationPydanticOutput(quality=9.5)
             crew_planner.evaluate(task_output)
             assert crew_planner.tasks_scores[0] == [9.5]