diff --git a/helper/constants.py b/helper/constants.py
index 40f0e50..bb86339 100644
--- a/helper/constants.py
+++ b/helper/constants.py
@@ -10,6 +10,7 @@ GEN_QUESTION_TEMPERATURE = 0.7
 GPT_3_5_TURBO = "gpt-3.5-turbo"
 GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k"
 GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct"
+GPT_4 = "gpt-4"
 
 GRADING_FIELDS = ['comment', 'overall', 'task_response']
 GEN_FIELDS = ['topic']
diff --git a/helper/exercises.py b/helper/exercises.py
index 2f03a02..ee18c60 100644
--- a/helper/exercises.py
+++ b/helper/exercises.py
@@ -675,7 +675,7 @@ def gen_multiple_choice_level(quantity: int, start_id=1):
                     "questions and some advanced questions. Ensure that the questions cover a range of topics such as " \
                     "verb tense, subject-verb agreement, pronoun usage, sentence structure, and punctuation."
     token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"] - 300
-    mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
+    mc_questions = make_openai_instruct_call(GPT_4, gen_multiple_choice_for_text, token_count,
                                              None,
                                              GEN_QUESTION_TEMPERATURE)
     split_mc_questions = mc_questions.split('13')
@@ -687,8 +687,8 @@ def gen_multiple_choice_level(quantity: int, start_id=1):
                          '"prompt": "Which of the following is a conjunction?", '
                          '"solution": "A", "variant": "text"}]}. '
                          '\nThe questions: "' + split_mc_questions[0] + '"')
-    token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
-    question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
+    token_count = count_tokens(parse_mc_questions, model_name=GPT_4)["n_tokens"]
+    question = make_openai_instruct_call(GPT_4, parse_mc_questions, token_count,
                                          ["questions"],
                                          GEN_QUESTION_TEMPERATURE)
     parse_mc_questions = ('Parse the questions into this json format: {"questions": [{"id": "9", "options": '
@@ -698,8 +698,8 @@ def gen_multiple_choice_level(quantity: int, start_id=1):
                          '"prompt": "Which of the following is a conjunction?", '
                          '"solution": "A", "variant": "text"}]}. '
                          '\nThe questions: "' + '13' + split_mc_questions[1] + '"')
-    token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
-    question_2 = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
+    token_count = count_tokens(parse_mc_questions, model_name=GPT_4)["n_tokens"]
+    question_2 = make_openai_instruct_call(GPT_4, parse_mc_questions, token_count,
                                            ["questions"],
                                            GEN_QUESTION_TEMPERATURE)
     question["questions"].extend(question_2["questions"])
@@ -730,7 +730,7 @@ def generate_single_mc_level_question():
     gen_multiple_choice_for_text = "Generate 1 multiple choice question of 4 options for an english level exam, it can " \
                                    "be easy, intermediate or advanced."
     token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"] - 300
-    mc_question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
+    mc_question = make_openai_instruct_call(GPT_4, gen_multiple_choice_for_text, token_count,
                                              None,
                                              GEN_QUESTION_TEMPERATURE)
 
@@ -742,8 +742,8 @@ def generate_single_mc_level_question():
                          '"solution": "A", "variant": "text"}. '
                          '\nThe questions: "' + mc_question + '"')
 
-    token_count = count_tokens(parse_mc_question, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"]
-    question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_question, token_count,
+    token_count = count_tokens(parse_mc_question, model_name=GPT_4)["n_tokens"]
+    question = make_openai_instruct_call(GPT_4, parse_mc_question, token_count,
                                          ["options"],
                                          GEN_QUESTION_TEMPERATURE)
     return question