@@ -121,6 +121,10 @@ class Chatgpt(SimpleService):
             'output': Decimal('0.0002'),
             'code_interpreter': Decimal('15')
         },
+        'gpt-oss-120b': {
+            'input': Decimal('0.0002'),
+            'output': Decimal('0.0002')
+        }
     }
 
     TOOLS_TOKEN_COSTS = {
@@ -303,6 +307,45 @@ class Chatgpt(SimpleService):
                     endpoint='responses',
                     json_data=json_data
                 )
+            elif model_name == 'gpt-oss-120b':
+                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})
+                if file and not image:
+                    if sum([len(chunk.content) for chunk in chunks]) > 20_000:
+                        document_name = chunks[0].content.partition(f':{chr(10)}')[2].split(f'{chr(10)}')[0][:100]
+                        embedding_tokens, file_data = self.get_large_file_data(chunks, proxy, input_message.content)
+                        messages[-1]['content'] = self.make_embeddings_prompt(
+                            document_name=document_name, section_texts=file_data, question=input_message.content
+                        )
+                    else:
+                        messages[-1]['content'] = (f'Используй системный промпт. Содержание файла: '
+                                                   f'{chunks}. Вопрос: {input_message.content}')
+                json_data = {
+                    'model': f'openai/{model_name}',
+                    'messages': messages
+                }
+                response = httpx.post(
+                    url='https://openrouter.ai/api/v1/chat/completions', proxy=f'{proxy.protocol}://{proxy.address}',
+                    headers={'Authorization': f'Bearer {settings.OPENROUTER_API_KEY}'}, timeout=600, json=json_data
+                )
+                if (
+                    (data := response.json())
+                    and data.get('choices')
+                    and (
+                    content := ','.join(
+                        [choice['message']['content'] for choice in data.get('choices')])
+                    )
+                ):
+                    input_tokens = response.json()['usage']['prompt_tokens']
+                    output_tokens = response.json()['usage']['completion_tokens']
+                    response = AIMessage(content=content.replace('\\n', '\n'))
+                else:
+                    raise Exception('GPT not answer correctly, please retry later')
             elif model_name in ('o3-mini', 'gpt-4.5-preview'):
                 system = chat_history.messages.pop(0)
                 messages = [
@@ -458,6 +501,7 @@ class Chatgpt(SimpleService):
             'gpt-5': 200_000,
             'gpt-5-mini': 200_000,
             'gpt-5-nano': 200_000,
+            'gpt-oss-120b': 65_500,
         }
         tokens = 0
         history: List[BaseMessage] = []