@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: PACKAGE VERSION\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-08-10 11:02+0300\n"
+"POT-Creation-Date: 2026-08-13 17:52+0300\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -766,7 +766,8 @@ msgstr "Промпт слишком длинный"
 msgid ""
 "Service is currently unavailable due to high demand. Please try again later"
 msgstr ""
-"Сервис временно недоступен из-за высокой нагрузки. Пожалуйста, попробуйте позже"
+"Сервис временно недоступен из-за высокой нагрузки. Пожалуйста, попробуйте "
+"позже"
 
 #: ml_model/exceptions.py:172
 msgid "Service is temporarily unavailable. Please try again later"
@@ -1097,17 +1098,21 @@ msgstr "Инструкции Моделей"
 msgid "no model by this id"
 msgstr "Не найдено моделей по этому ID"
 
-#: ml_model/services/FileService.py:110
+#: ml_model/services/FileService.py:123
 #: tools/public_api/views/providers/openai_compatible.py:208
 msgid "Voice not found."
 msgstr "Голос не найден."
 
+#: ml_model/services/FileService.py:227
+msgid "Image is too wide or tall"
+msgstr "Изображение слишком широкое или высокое"
+
 #: ml_model/services/chatgpt.py:245
 msgid "Image is ready"
 msgstr "Изображение готово"
 
 #: ml_model/services/chatgpt.py:361 ml_model/services/claude.py:277
-#: ml_model/services/grok.py:191
+#: ml_model/services/grok.py:192
 msgid "File analysis"
 msgstr "Анализ файлов"
 
@@ -1,3 +1,4 @@
+import json
 import re
 import subprocess
 import zipfile
@@ -123,48 +124,48 @@ class FileProcessingService:
         return voice.file
 
 
-class ImageFileProcessingService:
-    ALLOWED_EXTENSIONS = ['PNG', 'JPG', 'JPEG', 'WEBP']
+class MediaFileProcessor:
+    EXTENSIONS = []
 
-    def __init__(self, image: FieldFile) -> None:
-        self.image = image
+    def __init__(self, media_file: FieldFile) -> None:
+        self._media_file = media_file
 
     @staticmethod
-    def __reset_image(func):
+    def _reset_media_file(func):
         @wraps(func)
         def wrapper(self, *args, **kwargs):
             try:
                 return func(self, *args, **kwargs)
             finally:
-                self.image.seek(0)
+                if not self._media_file.closed:
+                    self._media_file.seek(0)
 
         return wrapper
 
-    @__reset_image
+    @_reset_media_file
     def get_bytes(self, size: int | None = None) -> bytes:
-        return self.image.read(size)
+        return self._media_file.read(size)
 
-    def get_kind(self, file_bytes: bytes):
+    @staticmethod
+    def get_kind(file_bytes):
         kind = filetype.guess(file_bytes)
-        if not kind:
-            raise CorruptedFileError
-        if kind.extension.upper() not in self.ALLOWED_EXTENSIONS:
-            raise FileExtensionNotSupported(self.ALLOWED_EXTENSIONS)
         return kind
 
-    @__reset_image
-    def get_dimensions(self, max_pixels: int) -> tuple[int, int]:
+
+class ImageFileProcessor(MediaFileProcessor):
+    EXTENSIONS = ['PNG', 'JPG', 'JPEG', 'WEBP']
+
+    @MediaFileProcessor._reset_media_file
+    def get_dimensions(self) -> tuple[int | None, int | None]:
         try:
-            w, h = get_image_dimensions(self.image)
-            if not (w and h):
-                raise CorruptedFileError
-            if w * h > max_pixels:
-                raise ImageTooLargeError(max_pixels)
-            return w, h
-        except Image.DecompressionBombError:
-            raise ImageTooLargeError(max_pixels)
+            return get_image_dimensions(self._media_file)
+        except Image.DecompressionBombError as exc:
+            if (max_pixels := Image.MAX_IMAGE_PIXELS) is None:
+                raise
+            raise ImageTooLargeError(max_pixels) from exc
 
-    def get_normalized_image(self, file_bytes: bytes) -> BytesIO:
+    @staticmethod
+    def get_normalized_image(file_bytes: bytes) -> BytesIO:
         normalized_image = BytesIO(file_bytes)
         with Image.open(normalized_image) as source_image:
             img = source_image.convert('RGBA')
@@ -173,3 +174,66 @@ class ImageFileProcessingService:
         img.close()
         normalized_image.seek(0)
         return normalized_image
+
+
+class VideoFileProcessor(MediaFileProcessor):
+    EXTENSIONS = ['MP4']
+
+    def get_duration(self) -> float:
+        result = subprocess.run(
+            [
+                'ffprobe',
+                '-v',
+                'error',
+                '-show_entries',
+                'format=duration',
+                '-of',
+                'json',
+                '-',
+            ],
+            input=self.get_bytes(),
+            capture_output=True,
+            check=False,
+        )
+        if result.returncode != 0:
+            raise CorruptedFileError
+        duration = float(json.loads(result.stdout).get('format', {}).get('duration') or 0)
+        if duration <= 0:
+            raise CorruptedFileError
+        return duration
+
+
+class MediaFileValidator:
+    @staticmethod
+    def validate_kind(kind, allowed_extensions: list[str]) -> None:
+        if not kind:
+            raise CorruptedFileError
+        if kind.extension.upper() not in allowed_extensions:
+            raise FileExtensionNotSupported(allowed_extensions)
+
+
+class ImageFileValidator(MediaFileValidator):
+    @staticmethod
+    def validate_dimensions(w: int | None, h: int | None, *, max_pixels: int | None) -> None:
+        if not (w and h):
+            raise CorruptedFileError
+        if max_pixels:
+            if w * h > max_pixels:
+                raise ImageTooLargeError(max_pixels)
+
+    @staticmethod
+    def validate_aspect_ratio(w: int | None, h: int | None, *, min_ratio: float, max_ratio: float) -> None:
+        if not (w and h):
+            raise CorruptedFileError
+        if not (min_ratio <= w / h <= max_ratio):
+            raise InvalidParameterError(_('Image is too wide or tall'))
+
+
+class VideoFileValidator(MediaFileValidator):
+    @staticmethod
+    def validate_duration(duration: float, *, max_seconds: int) -> None:
+        if duration > max_seconds:
+            raise InvalidParameterError(
+                _('The attached video must be at most %(max_seconds)d seconds')
+                % {'max_seconds': max_seconds}
+            )
@@ -47,9 +47,9 @@ class Chatgpt(Chatgpt_4, StreamSimpleService, OpenAIStreamMixin):
             'input': Decimal('0.0025'),  # $5 / 1M tokens
             'output': Decimal('0.015'),  # $30 / 1M tokens
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
             'generated_image': Decimal('10.2'),
@@ -58,31 +58,31 @@ class Chatgpt(Chatgpt_4, StreamSimpleService, OpenAIStreamMixin):
             'input': Decimal('0.0025'),  # $5 / 1M tokens
             'output': Decimal('0.015'),  # $30 / 1M tokens
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
             'generated_image': Decimal('10.2'),
         },
         'gpt-5.6-luna': {
-            'input': Decimal('0.0001'),  # $0.2 / 1M tokens
-            'output': Decimal('0.0006'),  # $1.2 / 1M tokens
+            'input': Decimal('0.0005'),  # $1 / 1M tokens
+            'output': Decimal('0.003'),  # $6 / 1M tokens
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
             'generated_image': Decimal('10.2'),
         },
         'gpt-5.6-terra': {
-            'input': Decimal('0.001'),  # $2 / 1M tokens
-            'output': Decimal('0.006'),  # $12 / 1M tokens
+            'input': Decimal('0.00125'),  # $2.5 / 1M tokens
+            'output': Decimal('0.0075'),  # $15 / 1M tokens
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
             'generated_image': Decimal('10.2'),
@@ -493,9 +493,7 @@ class Chatgpt(Chatgpt_4, StreamSimpleService, OpenAIStreamMixin):
                     Decimal(serper_sources * 250) / Decimal(2.7) * self.TOKENS_COST[model_name]['input']
                 )
         if info.get('code_interpreter'):
-            json_data['tools'].append(
-                {'type': 'code_interpreter', 'container': {'type': 'auto', 'memory_limit': '1g'}}
-            )
+            json_data['tools'].append({'type': 'code_interpreter', 'container': {'type': 'auto'}})
             messages[-1]['content'] += ' the python tool '
             predicted_input_price += self.TOKENS_COST[model_name]['code_interpreter']
         if ctx['image']:
@@ -67,18 +67,18 @@ class Chatgpt_4(SimpleService):
             'input': Decimal('0.0003'),
             'output': Decimal('0.0003'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('12.5'),  # 1 call
+                'medium': Decimal('13.75'),  # 1 call
+                'high': Decimal('15'),  # 1 call
             },
         },
         'gpt-4o': {
             'input': Decimal('0.005'),
             'output': Decimal('0.005'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('15'),  # 1 call
+                'medium': Decimal('17.5'),  # 1 call
+                'high': Decimal('25'),  # 1 call
             },
         },
         'gpt-oss-120b': {'input': Decimal('0.0002'), 'output': Decimal('0.0002')},
@@ -566,7 +566,7 @@ class Chatgpt_4(SimpleService):
             'input': messages,
             'tools': [
                 {
-                    'type': 'web_search',
+                    'type': 'web_search_preview',
                     'search_context_size': search_context_size,
                     'user_location': {'type': 'approximate', 'country': 'RU'},
                 }
@@ -26,9 +26,9 @@ class Chatgpt_5(Chatgpt_4):
             'input': Decimal('0.000625'),
             'output': Decimal('0.005'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),
         },
@@ -36,9 +36,9 @@ class Chatgpt_5(Chatgpt_4):
             'input': Decimal('0.000125'),
             'output': Decimal('0.001'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),
         },
@@ -51,9 +51,9 @@ class Chatgpt_5(Chatgpt_4):
             'input': Decimal('0.000625'),
             'output': Decimal('0.005'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
         },
@@ -61,9 +61,9 @@ class Chatgpt_5(Chatgpt_4):
             'input': Decimal('0.0075'),
             'output': Decimal('0.06'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
         },
         'gpt-5.1-codex-max': {
@@ -82,9 +82,9 @@ class Chatgpt_5(Chatgpt_4):
             'input': Decimal('0.000875'),
             'output': Decimal('0.007'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),  # 1 call
+                'medium': Decimal('5'),  # 1 call
+                'high': Decimal('5'),  # 1 call
             },
             'code_interpreter': Decimal('15'),  # 1 call
         },
@@ -239,9 +239,7 @@ class Chatgpt_5(Chatgpt_4):
                 'gpt-5',
                 'gpt-5.1',
             ):
-                json_data['tools'].append(
-                    {'type': 'code_interpreter', 'container': {'type': 'auto', 'memory_limit': '1g'}}
-                )
+                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
@@ -21,9 +21,9 @@ class Chatgpt_5_4(Chatgpt):
             'input': Decimal('0.00125'),
             'output': Decimal('0.0075'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),
+                'medium': Decimal('5'),
+                'high': Decimal('5'),
             },
             'code_interpreter': Decimal('15'),
             'generated_image': Decimal('10.2'),
@@ -32,9 +32,9 @@ class Chatgpt_5_4(Chatgpt):
             'input': Decimal('0.0075'),
             'output': Decimal('0.045'),
             'web_search': {
-                'low': Decimal('5'),  # $0.01 / call
-                'medium': Decimal('5'),  # $0.01 / call
-                'high': Decimal('5'),  # $0.01 / call
+                'low': Decimal('5'),
+                'medium': Decimal('5'),
+                'high': Decimal('5'),
             },
             'generated_image': Decimal('10.2'),
         },
@@ -227,11 +227,7 @@ class Claude(SerperMixin, StreamSimpleService):
         return memory
 
     def _build_callback_data(self, input_message: Message) -> dict[str, Any]:
-        return {
-            **input_message.info,
-            'provider': {'order': ['anthropic'], 'allow_fallbacks': False},
-            'tools': [],
-        }
+        return {'provider': {'order': ['anthropic']}, **input_message.info, 'tools': []}
 
     def _prepare_messages(
         self, input_message: Message, version_slug: str, callback_data: dict
@@ -26,12 +26,12 @@ class Deepseek(SimpleService):
         #     'output': Decimal('0'),
         # },
         'deepseek/deepseek-v4-pro': {
-            'input': Decimal('261') / 1_000_000,  # $0.87 / 1M tokens
-            'output': Decimal('522') / 1_000_000,  # $1.74 / 1M tokens
+            'input': Decimal('1050') / 1_000_000,
+            'output': Decimal('2200') / 1_000_000,
         },
-        'deepseek/deepseek-v4-flash-0731': {
-            'input': Decimal('24') / 1_000_000,  # $0.08 / 1M tokens
-            'output': Decimal('75.6') / 1_000_000,  # $0.252 / 1M tokens
+        'deepseek/deepseek-v4-flash': {
+            'input': Decimal('100') / 1_000_000,
+            'output': Decimal('175') / 1_000_000,
         },
     }
 
@@ -62,7 +62,6 @@ class Deepseek(SimpleService):
 
         callback_data = {
             **info,
-            'provider': {'order': ['digitalocean'], 'allow_fallbacks': False},
         }
         messages = [
             {'role': 'system', 'content': system_prompt},
@@ -99,8 +99,8 @@ class Gemini(SimpleService):
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         version = f'google/{version_slug}'
         callback_data = {
+            'provider': {'order': ['Google AI Studio']},
             **input_message.info,
-            'provider': {'order': ['google-ai-studio'], 'allow_fallbacks': False},
         }
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
@@ -79,8 +79,8 @@ class Gemini_3_1(StreamSimpleService):
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         model_slug = f'google/{version_slug}:online'
         callback_data = {
+            'provider': {'order': ['Google AI Studio']},
             **input_message.info,
-            'provider': {'order': ['google-ai-studio'], 'allow_fallbacks': False},
         }
         messages, embedding_tokens = self._prepare_messages(input_message)
 
@@ -103,8 +103,8 @@ class Gemini_3_1(StreamSimpleService):
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         model_slug = f'google/{version_slug}:online'
         callback_data = {
+            'provider': {'order': ['Google AI Studio']},
             **input_message.info,
-            'provider': {'order': ['google-ai-studio'], 'allow_fallbacks': False},
         }
         messages, embedding_tokens = self._prepare_messages(input_message)
         input_tokens = output_tokens = 0
@@ -41,8 +41,8 @@ class Gemma(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         callback_data = {
+            'provider': {'order': ['DeepInfra']},
             **input_message.info,
-            'provider': {'order': ['deepinfra'], 'allow_fallbacks': False},
         }
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
@@ -53,8 +53,8 @@ class Grok_4_1_Fast(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         callback_data = {
+            'provider': {'order': ['xAI']},
             **input_message.info,
-            'provider': {'order': ['xai'], 'allow_fallbacks': False},
         }
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
@@ -1,17 +1,15 @@
-import base64
 import time
 from datetime import timedelta
 from decimal import Decimal
 from io import BytesIO
 from typing import Any
 
-import filetype
 import requests
 from django.core.files import File
 
-
 from messages.models import Message
-from ml_model.exceptions import RequestBlocked, GenerationException, FileNotProvided
+from ml_model.exceptions import FileNotProvided
+from ml_model.services.FileService import ImageFileProcessor, ImageFileValidator
 from ml_model.services.base import SimpleService
 from ml_model.tasks import replicate_run
 
@@ -47,17 +45,24 @@ class Kling(SimpleService):
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         mode = input_message.info.pop('mode', 'standard')
         duration = input_message.info.get('duration', 5)
-        if (balance := PaymentPlanSelector(self.store.user).get_current_balance()) < (cost := self.TOKENS_COST[mode] * duration):
+        if (balance := PaymentPlanSelector(self.store.user).get_current_balance()) < (
+            cost := self.TOKENS_COST[mode] * duration
+        ):
             raise InsufficientBalance(balance, cost)
         if not input_message.file:
             raise FileNotProvided('Image')
-        callback_data = dict({'prompt': self.translate_prompt(input_message.content), 'mode': mode, **input_message.info})
-        kind = filetype.guess(input_message.file.read(20))
-        mime = kind.mime if kind else 'application/octet-stream'
-        input_message.file.seek(0)
-        image = f'data:{mime};base64,{base64.b64encode(input_message.file.read()).decode("utf-8")}'
+        callback_data = dict(
+            {'prompt': self.translate_prompt(input_message.content), 'mode': mode, **input_message.info}
+        )
+
+        image_processor = ImageFileProcessor(input_message.file)
+        kind = image_processor.get_kind(image_processor.get_bytes(20))
+        ImageFileValidator.validate_kind(kind, image_processor.EXTENSIONS)
+        width, height = image_processor.get_dimensions()
+        ImageFileValidator.validate_dimensions(width, height, max_pixels=36_000_000)
+        ImageFileValidator.validate_aspect_ratio(width, height, min_ratio=0.40, max_ratio=2.50)
         input_message.file.close()
-        callback_data.update({'start_image': image})
+        callback_data.update({'start_image': input_message.file.url})
         start_time = time.time()
         video = replicate_run('kwaivgi/kling-v2.1', callback_data)
         process_time = timedelta(seconds=(time.time() - start_time))
@@ -66,10 +66,7 @@ class Llama(SimpleService):
         if version_slug is None or version_slug not in self.TOKENS_COST:
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         version = f'meta-llama/{version_slug}'
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['deepinfra'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['DeepInfra']}, **input_message.info}
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
         image = input_message.file
@@ -17,9 +17,9 @@ from payments.selectors.payment_plan_selector import PaymentPlanSelector
 
 class Ltx(SimpleService):
     TOKENS_COST = {
-        '1080p': Decimal('18'),  # $0.06 / sec
-        '2k': Decimal('36'),  # $0.12 / sec
-        '4k': Decimal('72'),  # $0.24 / sec
+        '1080p': Decimal('12'),
+        '2k': Decimal('24'),
+        '4k': Decimal('48'),
     }
 
     @classmethod
@@ -55,10 +55,7 @@ class Mistral(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         version = 'mistralai/mistral-small-3.1-24b-instruct'
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['parasail'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['Parasail']}, **input_message.info}
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
         image = input_message.file
@@ -69,10 +69,7 @@ class Perplexity(SimpleService):
         if version_slug is None or version_slug not in self.TOKENS_COST:
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         version = f'perplexity/{version_slug}'
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['perplexity'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['Perplexity']}, **input_message.info}
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
         try:
@@ -54,10 +54,7 @@ class Qwen(SimpleService):
         if version_slug is None or version_slug not in self.TOKENS_COST:
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         version = f'qwen/{version_slug}'
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['deepinfra'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['DeepInfra']}, **input_message.info}
         messages = self.get_chat_history()
         messages.insert(
             0,
@@ -58,10 +58,7 @@ class Qwen_235B(SimpleService):
         if version_slug is None or version_slug not in self.TOKENS_COST:
             raise ModelVersionNotAvailable(version_slug, self.TOKENS_COST)
         version = f'qwen/{version_slug}'
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['deepinfra'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['DeepInfra']}, **input_message.info}
         messages = self.get_chat_history()
         messages.insert(
             0,
@@ -26,8 +26,8 @@ class Qwen_3_7(StreamSimpleService):
     COEFFICIENT = Decimal('300.0')
 
     TOKENS_COST = {
-        'qwen3.7-max': {'input': Decimal('442.5'), 'output': Decimal('1327.5')},  # $1.475 / $4.425
-        'qwen3.7-plus': {'input': Decimal('96'), 'output': Decimal('384')},  # $0.32 / $1.28
+        'qwen3.7-max': {'input': Decimal('750'), 'output': Decimal('2250')},
+        'qwen3.7-plus': {'input': Decimal('120'), 'output': Decimal('480')},
     }
 
     MAX_OUTPUT_TOKENS = 30_000
@@ -38,10 +38,7 @@ class Qwen_3_Max_Thinking(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         start_time = time.time()
-        callback_data = {
-            **input_message.info,
-            'provider': {'order': ['alibaba'], 'allow_fallbacks': False},
-        }
+        callback_data = {'provider': {'order': ['alibaba']}, **input_message.info}
         messages = self.get_chat_history()
         messages.append({'role': 'user', 'content': input_message.content})
         result = openrouter_run('qwen/qwen3-max-thinking:online', messages, callback_data, 'Qwen')
@@ -20,12 +20,12 @@ from ml_model.tasks import bytedance_model_ark_run
 
 class Reve(SimpleService):
     # Reve временно не работает на репликейте. Временно используем сидрим
-    TEMPORARY_PROVIDER_MODEL = 'seedream-5-0-lite-260128'
+    TEMPORARY_PROVIDER_MODEL = 'seedream-5-0-260128'
 
     PRICE = {
-        '2K': Decimal('17.5'),  # $0.035 / image (seedream-5-0-lite-260128)
-        '3K': Decimal('17.5'),  # $0.035 / image
-        '4K': Decimal('17.5'),  # $0.035 / image
+        '2K': Decimal('25'),
+        '3K': Decimal('50'),
+        '4K': Decimal('100'),
     }
     # PRICE = {
     #     'create': Decimal('12.5'),
@@ -22,18 +22,18 @@ from payments.selectors.payment_plan_selector import PaymentPlanSelector
 class Seedream(SimpleService):
     TOKEN_COST = {
         'seedream-boosted': {
-            '2K': Decimal('17.5'),  # $0.035 / image
-            '3K': Decimal('17.5'),  # $0.035 / image
-            '4K': Decimal('17.5'),  # $0.035 / image
+            '2K': Decimal('25'),
+            '3K': Decimal('50'),
+            '4K': Decimal('100'),
         },
         'seedream-4.5': {
-            '2K': Decimal('20'),  # $0.04 / image
-            '4K': Decimal('20'),  # $0.04 / image
+            '2K': Decimal('25'),
+            '4K': Decimal('100'),
         },
     }
 
     VERSION_MAPPING = {
-        'seedream-boosted': 'seedream-5-0-lite-260128',
+        'seedream-boosted': 'seedream-5-0-260128',
         'seedream-4.5': 'seedream-4-5-251128',
     }
 
@@ -96,8 +96,10 @@ class Seedream(SimpleService):
         if image := input_message.file:
             image_processor = ImageFileProcessingService(image)
             file_bytes = image_processor.get_bytes(20)
-            image_processor.get_kind(file_bytes)
-            image_processor.get_dimensions(max_pixels=36000000)
+            kind = image_processor.validate_kind(image_processor.get_kind(file_bytes))
+            image_processor.validate_extension(kind)
+            width, height = image_processor.get_dimensions()
+            image_processor.validate_dimensions(width, height, max_pixels=36_000_000)
             image_processor.image.close()
             callback_data.update({'image': image.url})
 
@@ -3,4 +3,4 @@ from ml_model.services import Minimaxmusic
 
 
 class Suno(Minimaxmusic):
-    TOKENS_COST = Decimal('15')  # $0.03 * 100 * 5
+    TOKENS_COST = Decimal('17.5')