@@ -96,6 +96,16 @@ class Chatgpt(SimpleService):
             'input': Decimal('0.075'),
             'output': Decimal('0.075'),
         },
+        'gpt-5': {
+            'input': Decimal('0.000625'),
+            'output': Decimal('0.005'),
+            'web_search': {
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5')  # 1 call
+            },
+            'code_interpreter': Decimal('15')
+        }
     }
 
     TOOLS_TOKEN_COSTS = {
@@ -204,7 +214,53 @@ class Chatgpt(SimpleService):
             self.assert_enough_balance(
                 input_tokens, image_size, model=self.llm.model_name, embedding_tokens=input_embedding_tokens
             )
-            if model_name in ('o3-mini', 'gpt-4.5-preview'):
+            if model_name == 'gpt-5':
+                system = chat_history.messages.pop(0)
+                messages = [
+                    {'role': 'user' if isinstance(msg, HumanMessage) else 'assistant', 'content': msg.content}
+                    for msg in chat_history.messages
+                ]
+                messages.insert(0, {'role': 'system', 'content': system.content})
+                messages.insert(0, {'role': 'system', 'content': user_system_prompt})
+                json_data = {
+                    'model': model_name,
+                    'input': messages,
+                    'tools': []
+                }
+                if info.get('reasoning'):
+                    json_data['reasoning'] = {}
+                    reasoning_data = {
+                        'Минимальный': 'minimal',
+                        'Низкий': 'low',
+                        'Средний': 'medium ',
+                        'Высокий': 'high'
+                    }
+                    json_data['reasoning']['effort'] = reasoning_data[info['reasoning']]
+                    json_data['reasoning']['summary'] = 'auto'
+                if info.get('reasoning') == 'Минимальный':
+                    info.pop('web_search')
+                    info.pop('code_interpreter')
+                if info.get('web_search', 'Отключено') != 'Отключено':
+                    search_context_size, json_data = self.get_web_search_data(
+                        info.get('web_search', 'Средний контекст'),
+                        model_name,
+                        messages
+                    )
+                    info['web_search'] = search_context_size
+                if info.get('code_interpreter') is True:
+                    json_data['tools'].append(
+                        {
+                            'type': 'code_interpreter',
+                            'container': {'type': 'auto'}
+                        }
+                    )
+                    messages[-1]['content'] += 'the python tool'
+                input_tokens, output_tokens, response = self.call_openai_api(
+                    proxy=proxy,
+                    endpoint='responses',
+                    json_data=json_data
+                )
+            elif model_name in ('o3-mini', 'gpt-4.5-preview'):
                 system = chat_history.messages.pop(0)
                 messages = [
                     {'role': 'user' if isinstance(msg, HumanMessage) else 'assistant', 'content': msg.content}
@@ -223,11 +279,6 @@ class Chatgpt(SimpleService):
                 }
                 input_tokens, output_tokens, response = self.call_openai_api(proxy=proxy, endpoint='chat/completions',json_data=json_data)
             elif info.get('web_search', 'Отключено') != 'Отключено':
-                search_context_sizes = {
-                    'Малый контекст': 'low',
-                    'Средний контекст': 'medium',
-                    'Большой контекст': 'high'
-                }
                 if model_name not in ('o1-preview', 'o1-mini'):
                     system = chat_history.messages.pop(0)
                 messages = [
@@ -237,19 +288,12 @@ class Chatgpt(SimpleService):
                 if model_name not in ('o1-preview', 'o1-mini'):
                     messages.insert(0, {'role': 'system', 'content': system.content})
                     messages.insert(0, {'role': 'system', 'content': user_system_prompt})
-                search_context_size = search_context_sizes.get(info.get('web_search', 'Средний контекст'))
+                search_context_size, json_data = self.get_web_search_data(
+                    info.get('web_search', 'Средний контекст'),
+                    model_name,
+                    messages
+                )
                 info['web_search'] = search_context_size
-                json_data = {
-                    'model': model_name,
-                    'input': messages,
-                    'tools': [
-                        {
-                            'type': 'web_search_preview',
-                            'search_context_size': search_context_size,
-                            'user_location': {'type': 'approximate', 'country': 'RU'}
-                        }
-                    ]
-                }
                 input_tokens, output_tokens, response = self.call_openai_api(proxy=proxy, endpoint='responses',json_data=json_data)
             elif image:
                 response = self.llm.invoke(llm_input)
@@ -367,6 +411,7 @@ class Chatgpt(SimpleService):
             'gpt-4o-mini': 64_000,
             'gpt-4o': 64_000,
             'gpt-4.5-preview': 64_000,
+            'gpt-5': 200_000,
         }
         tokens = 0
         history: List[BaseMessage] = []
@@ -431,6 +476,8 @@ class Chatgpt(SimpleService):
         )
         if info.get('web_search', 'Отключено') != 'Отключено':
             price += self.TOKENS_COST[model]['web_search'].get(info.get('web_search', 'medium'))
+        if info.get('code_interpreter', False):
+            price += self.TOKENS_COST[model]['code_interpreter']
         if embedding_tokens > 0:
             price += self.TOOLS_TOKEN_COSTS['text-embedding-3-large']['output'] * embedding_tokens
         return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
@@ -477,6 +524,27 @@ class Chatgpt(SimpleService):
 
         return total_tokens
 
+
+    def get_web_search_data(self, search_size: str, model_name: str, messages: List[Dict[str, any]]):
+        search_context_sizes = {
+            'Малый контекст': 'low',
+            'Средний контекст': 'medium',
+            'Большой контекст': 'high'
+        }
+        search_context_size = search_context_sizes.get(search_size)
+        json_data = {
+            'model': model_name,
+            'input': messages,
+            'tools': [
+                {
+                    'type': 'web_search_preview',
+                    'search_context_size': search_context_size,
+                    'user_location': {'type': 'approximate', 'country': 'RU'}
+                }
+            ]
+        }
+        return search_context_size, json_data
+
     def get_pdf_data(self, pdf_file: UploadedFile) -> str:
         """
         Extracting text from pdf-file
@@ -698,12 +766,18 @@ class Chatgpt(SimpleService):
                 and (data := resp.json())
                 and data.get('output')
                 and (
-                    content := data['output'][-1]['content'][0]['text']
+                    output := data['output']
                 )
             ):
                 input_tokens = resp.json()['usage']['input_tokens']
                 output_tokens = resp.json()['usage']['output_tokens']
-                response = AIMessage(content=content)
+                content = ''
+                for o in output:
+                    if o['type'] == 'code_interpreter_call':
+                        content += f'Код: {o['code']}\n\n'
+                    if o['type'] == 'message':
+                        content += o['content'][0]['text']
+                    response = AIMessage(content=content)
                 return input_tokens, output_tokens, response
             else:
                 raise Exception('GPT not answer correctly, please retry later')