diff --git a/README.md b/README.md
index b3bbeb80..f61214e4 100644
--- a/README.md
+++ b/README.md
@@ -178,7 +178,7 @@ messages = [
 
 chat_completions = client.chat.completions.create(
     messages=messages,
-    model="jamba-1.5-mini",
+    model="jamba-1.6-mini-2025-03",
 )
 ```
 
@@ -208,7 +208,7 @@ client = AsyncAI21Client(
 async def main():
     response = await client.chat.completions.create(
         messages=messages,
-        model="jamba-1.5-mini",
+        model="jamba-1.6-mini-2025-03",
     )
 
     print(response)
@@ -346,7 +346,7 @@ client = AsyncAI21Client()
 async def main():
     response = await client.chat.completions.create(
         messages=messages,
-        model="jamba-1.5-mini",
+        model="jamba-1.6-mini-2025-03",
         stream=True,
     )
     async for chunk in response:
@@ -705,7 +705,7 @@ messages = [
 ]
 
 response = client.chat.completions.create(
-  model="jamba-1.5-mini",
+  model="jamba-1.6-mini-2025-03",
   messages=messages,
 )
 ```
diff --git a/ai21/clients/bedrock/ai21_bedrock_client.py b/ai21/clients/bedrock/ai21_bedrock_client.py
index 0eded54f..d2cf5cfe 100644
--- a/ai21/clients/bedrock/ai21_bedrock_client.py
+++ b/ai21/clients/bedrock/ai21_bedrock_client.py
@@ -1,7 +1,6 @@
 import json
-import logging
-import warnings
-from typing import Optional, Dict, Any
+
+from typing import Any, Dict, Optional
 
 import boto3
 import httpx
@@ -10,15 +9,16 @@
 from ai21.ai21_env_config import AI21EnvConfig
 from ai21.clients.aws.aws_authorization import AWSAuthorization
 from ai21.clients.bedrock._stream_decoder import _AWSEventStreamDecoder
-from ai21.clients.studio.resources.studio_chat import StudioChat, AsyncStudioChat
-from ai21.clients.studio.resources.studio_completion import StudioCompletion, AsyncStudioCompletion
-from ai21.errors import AccessDenied, NotFound, APITimeoutError, ModelErrorException
+from ai21.clients.studio.resources.studio_chat import AsyncStudioChat, StudioChat
+from ai21.clients.studio.resources.studio_completion import (
+    AsyncStudioCompletion,
+    StudioCompletion,
+)
+from ai21.errors import AccessDenied, APITimeoutError, ModelErrorException, NotFound
 from ai21.http_client.async_http_client import AsyncAI21HTTPClient
 from ai21.http_client.http_client import AI21HTTPClient
 from ai21.models.request_options import RequestOptions
 
-_logger = logging.getLogger(__name__)
-
 
 _BEDROCK_URL_FORMAT = "https://bedrock-runtime.{region}.amazonaws.com"
 
@@ -76,7 +76,6 @@ def _prepare_headers(self, url: str, body: Dict[str, Any]) -> dict:
 class AI21BedrockClient(AI21HTTPClient, BaseBedrockClient):
     def __init__(
         self,
-        model_id: Optional[str] = None,
         base_url: Optional[str] = None,
         region: Optional[str] = None,
         headers: Optional[Dict[str, Any]] = None,
@@ -85,12 +84,6 @@ def __init__(
         session: Optional[boto3.Session] = None,
         http_client: Optional[httpx.Client] = None,
     ):
-        if model_id is not None:
-            warnings.warn(
-                "Please consider using the 'model' parameter in the "
-                "'create' method calls instead of the constructor.",
-                DeprecationWarning,
-            )
         self._region = region or AI21EnvConfig.aws_region
         if base_url is None:
             base_url = _BEDROCK_URL_FORMAT.format(region=self._region)
@@ -128,7 +121,6 @@ def _get_streaming_decoder(self) -> _AWSEventStreamDecoder:
 class AsyncAI21BedrockClient(AsyncAI21HTTPClient, BaseBedrockClient):
     def __init__(
         self,
-        model_id: Optional[str] = None,
         base_url: Optional[str] = None,
         region: Optional[str] = None,
         headers: Optional[Dict[str, Any]] = None,
@@ -137,12 +129,6 @@ def __init__(
         session: Optional[boto3.Session] = None,
         http_client: Optional[httpx.AsyncClient] = None,
     ):
-        if model_id is not None:
-            warnings.warn(
-                "Please consider using the 'model' parameter in the "
-                "'create' method calls instead of the constructor.",
-                DeprecationWarning,
-            )
         self._region = region or AI21EnvConfig.aws_region
         if base_url is None:
             base_url = _BEDROCK_URL_FORMAT.format(region=self._region)
diff --git a/ai21/clients/common/completion_base.py b/ai21/clients/common/completion_base.py
index a57c9e1f..2e39e432 100644
--- a/ai21/clients/common/completion_base.py
+++ b/ai21/clients/common/completion_base.py
@@ -1,35 +1,17 @@
 from __future__ import annotations
 
-import warnings
 from abc import ABC, abstractmethod
-from typing import List, Dict, Optional
+from typing import Dict, List
 
-from ai21.models import Penalty, CompletionsResponse
+from ai21.models import CompletionsResponse, Penalty
+from ai21.models._pydantic_compatibility import _to_dict
 from ai21.types import NOT_GIVEN, NotGiven
 from ai21.utils.typing import remove_not_given
-from ai21.models._pydantic_compatibility import _to_dict
 
 
 class Completion(ABC):
     _module_name = "complete"
 
-    def _get_model(self, model: Optional[str], model_id: Optional[str]) -> str:
-        if model_id is not None:
-            warnings.warn(
-                "The 'model_id' parameter is deprecated and will be removed in a future version."
-                " Please use 'model' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-
-        if model_id and model:
-            raise ValueError("Please provide only 'model' as 'model_id' is deprecated.")
-
-        if not model and not model_id:
-            raise ValueError("model should be provided 'create' method call")
-
-        return model or model_id
-
     @abstractmethod
     def create(
         self,
diff --git a/ai21/clients/studio/resources/chat/async_chat_completions.py b/ai21/clients/studio/resources/chat/async_chat_completions.py
index e0df9e4b..0a820e1d 100644
--- a/ai21/clients/studio/resources/chat/async_chat_completions.py
+++ b/ai21/clients/studio/resources/chat/async_chat_completions.py
@@ -1,17 +1,18 @@
 from __future__ import annotations
 
-from typing import List, Optional, Any, Literal, overload
+from typing import Any, List, Literal, Optional, overload
 
-from ai21.clients.studio.resources.studio_resource import AsyncStudioResource
 from ai21.clients.studio.resources.chat.base_chat_completions import BaseChatCompletions
+from ai21.clients.studio.resources.studio_resource import AsyncStudioResource
 from ai21.models import ChatMessage as J2ChatMessage
-from ai21.models.chat import ChatCompletionResponse, ChatCompletionChunk
+from ai21.models.chat import ChatCompletionChunk, ChatCompletionResponse
 from ai21.models.chat.chat_message import ChatMessageParam
 from ai21.models.chat.document_schema import DocumentSchema
 from ai21.models.chat.response_format import ResponseFormat
 from ai21.models.chat.tool_defintions import ToolDefinition
 from ai21.stream.async_stream import AsyncStream
-from ai21.types import NotGiven, NOT_GIVEN
+from ai21.types import NOT_GIVEN, NotGiven
+
 
 __all__ = ["AsyncChatCompletions"]
 
@@ -74,8 +75,10 @@ async def create(
                 " instead of ai21.models when working with chat completions."
             )
 
+        model = self._get_model(model=model)
+
         body = self._create_body(
-            model=self._get_model(model=model, model_id=kwargs.pop("model_id", None)),
+            model=model,
             messages=messages,
             stop=stop,
             temperature=temperature,
@@ -96,3 +99,9 @@ async def create(
             stream_cls=AsyncStream[ChatCompletionChunk],
             response_cls=ChatCompletionResponse,
         )
+
+    def _get_model(self, model: str) -> str:
+        if self._client.__class__.__name__ == "AsyncAI21Client":
+            return self._check_model(model=model)
+
+        return model
diff --git a/ai21/clients/studio/resources/chat/base_chat_completions.py b/ai21/clients/studio/resources/chat/base_chat_completions.py
index 5f719f7b..7a57092d 100644
--- a/ai21/clients/studio/resources/chat/base_chat_completions.py
+++ b/ai21/clients/studio/resources/chat/base_chat_completions.py
@@ -1,37 +1,41 @@
 from __future__ import annotations
 
 import warnings
+
 from abc import ABC
-from typing import List, Optional, Union, Any, Dict, Literal
+from typing import Any, Dict, List, Literal, Optional, Union
 
+from ai21.models._pydantic_compatibility import _to_dict
 from ai21.models.chat.chat_message import ChatMessageParam
 from ai21.models.chat.document_schema import DocumentSchema
 from ai21.models.chat.response_format import ResponseFormat
 from ai21.models.chat.tool_defintions import ToolDefinition
 from ai21.types import NotGiven
 from ai21.utils.typing import remove_not_given
-from ai21.models._pydantic_compatibility import _to_dict
+
+
+_MODEL_DEPRECATION_WARNING = """
+The 'jamba-1.5-mini' and 'jamba-1.5-large' models are deprecated and will
+be removed in a future version.
+Please use jamba-mini-1.6-2025-03 or jamba-large-1.6-2025-03 instead.
+"""
 
 
 class BaseChatCompletions(ABC):
     _module_name = "chat/completions"
 
-    def _get_model(self, model: Optional[str], model_id: Optional[str]) -> str:
-        if model_id is not None:
+    def _check_model(self, model: Optional[str]) -> str:
+        if not model:
+            raise ValueError("model should be provided 'create' method call")
+
+        if model in ["jamba-1.5-mini", "jamba-1.5-large"]:
             warnings.warn(
-                "The 'model_id' parameter is deprecated and will be removed in a future version."
-                " Please use 'model' instead.",
+                _MODEL_DEPRECATION_WARNING,
                 DeprecationWarning,
-                stacklevel=2,
+                stacklevel=3,
             )
 
-        if model_id and model:
-            raise ValueError("Please provide only 'model' as 'model_id' is deprecated.")
-
-        if not model and not model_id:
-            raise ValueError("model should be provided 'create' method call")
-
-        return model or model_id
+        return model
 
     def _create_body(
         self,
diff --git a/ai21/clients/studio/resources/chat/chat_completions.py b/ai21/clients/studio/resources/chat/chat_completions.py
index 7352a85b..1fd5e363 100644
--- a/ai21/clients/studio/resources/chat/chat_completions.py
+++ b/ai21/clients/studio/resources/chat/chat_completions.py
@@ -1,17 +1,18 @@
 from __future__ import annotations
 
-from typing import List, Optional, Any, Literal, overload
+from typing import Any, List, Literal, Optional, overload
 
-from ai21.clients.studio.resources.studio_resource import StudioResource
 from ai21.clients.studio.resources.chat.base_chat_completions import BaseChatCompletions
+from ai21.clients.studio.resources.studio_resource import StudioResource
 from ai21.models import ChatMessage as J2ChatMessage
-from ai21.models.chat import ChatCompletionResponse, ChatCompletionChunk
+from ai21.models.chat import ChatCompletionChunk, ChatCompletionResponse
 from ai21.models.chat.chat_message import ChatMessageParam
 from ai21.models.chat.document_schema import DocumentSchema
 from ai21.models.chat.response_format import ResponseFormat
 from ai21.models.chat.tool_defintions import ToolDefinition
 from ai21.stream.stream import Stream
-from ai21.types import NotGiven, NOT_GIVEN
+from ai21.types import NOT_GIVEN, NotGiven
+
 
 __all__ = ["ChatCompletions"]
 
@@ -56,7 +57,7 @@ def create(
     def create(
         self,
         messages: List[ChatMessageParam],
-        model: Optional[str] = None,
+        model: str,
         max_tokens: int | NotGiven = NOT_GIVEN,
         temperature: float | NotGiven = NOT_GIVEN,
         top_p: float | NotGiven = NOT_GIVEN,
@@ -74,8 +75,10 @@ def create(
                 " instead of ai21.models when working with chat completions."
             )
 
+        model = self._get_model(model=model)
+
         body = self._create_body(
-            model=self._get_model(model=model, model_id=kwargs.pop("model_id", None)),
+            model=model,
             messages=messages,
             stop=stop,
             temperature=temperature,
@@ -96,3 +99,9 @@ def create(
             stream_cls=Stream[ChatCompletionChunk],
             response_cls=ChatCompletionResponse,
         )
+
+    def _get_model(self, model: str) -> str:
+        if self._client.__class__.__name__ == "AI21Client":
+            return self._check_model(model=model)
+
+        return model
diff --git a/ai21/clients/studio/resources/studio_completion.py b/ai21/clients/studio/resources/studio_completion.py
index db1930b5..82f3acf6 100644
--- a/ai21/clients/studio/resources/studio_completion.py
+++ b/ai21/clients/studio/resources/studio_completion.py
@@ -1,10 +1,13 @@
 from __future__ import annotations
 
-from typing import List, Dict, Optional
+from typing import Dict, List
 
 from ai21.clients.common.completion_base import Completion
-from ai21.clients.studio.resources.studio_resource import StudioResource, AsyncStudioResource
-from ai21.models import Penalty, CompletionsResponse
+from ai21.clients.studio.resources.studio_resource import (
+    AsyncStudioResource,
+    StudioResource,
+)
+from ai21.models import CompletionsResponse, Penalty
 from ai21.types import NOT_GIVEN, NotGiven
 
 
@@ -12,8 +15,8 @@ class StudioCompletion(StudioResource, Completion):
     def create(
         self,
         prompt: str,
+        model: str,
         *,
-        model: Optional[str] = None,
         max_tokens: int | NotGiven = NOT_GIVEN,
         num_results: int | NotGiven = NOT_GIVEN,
         min_tokens: int | NotGiven = NOT_GIVEN,
@@ -28,7 +31,6 @@ def create(
         logit_bias: Dict[str, float] | NotGiven = NOT_GIVEN,
         **kwargs,
     ) -> CompletionsResponse:
-        model = self._get_model(model=model, model_id=kwargs.pop("model_id", None))
         path = self._get_completion_path(model=model)
         body = self._create_body(
             model=model,
@@ -54,8 +56,8 @@ class AsyncStudioCompletion(AsyncStudioResource, Completion):
     async def create(
         self,
         prompt: str,
+        model: str,
         *,
-        model: Optional[str] = None,
         max_tokens: int | NotGiven = NOT_GIVEN,
         num_results: int | NotGiven = NOT_GIVEN,
         min_tokens: int | NotGiven = NOT_GIVEN,
@@ -70,7 +72,6 @@ async def create(
         logit_bias: Dict[str, float] | NotGiven = NOT_GIVEN,
         **kwargs,
     ) -> CompletionsResponse:
-        model = self._get_model(model=model, model_id=kwargs.pop("model_id", None))
         path = self._get_completion_path(model=model)
         body = self._create_body(
             model=model,
diff --git a/examples/studio/async_chat.py b/examples/studio/async_chat.py
deleted file mode 100644
index fc1c35e5..00000000
--- a/examples/studio/async_chat.py
+++ /dev/null
@@ -1,41 +0,0 @@
-"""
-This examples uses a deprecated method client.chat.create and instead
-should be replaced with the `client.chat.completions.create`
-"""
-
-import asyncio
-
-from ai21 import AsyncAI21Client
-from ai21.models import RoleType, Penalty
-from ai21.models import ChatMessage
-
-system = "You're a support engineer in a SaaS company"
-messages = [
-    ChatMessage(text="Hello, I need help with a signup process.", role=RoleType.USER),
-    ChatMessage(text="Hi Alice, I can help you with that. What seems to be the problem?", role=RoleType.ASSISTANT),
-    ChatMessage(text="I am having trouble signing up for your product with my Google account.", role=RoleType.USER),
-]
-
-
-client = AsyncAI21Client()
-
-
-async def main():
-    response = await client.chat.create(
-        system=system,
-        messages=messages,
-        model="j2-ultra",
-        count_penalty=Penalty(
-            scale=0,
-            apply_to_emojis=False,
-            apply_to_numbers=False,
-            apply_to_stopwords=False,
-            apply_to_punctuation=False,
-            apply_to_whitespaces=False,
-        ),
-    )
-
-    print(response)
-
-
-asyncio.run(main())
diff --git a/examples/studio/chat.py b/examples/studio/chat.py
deleted file mode 100644
index 6b62a849..00000000
--- a/examples/studio/chat.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""
-This examples uses a deprecated method client.chat.create and instead
-should be replaced with the `client.chat.completions.create`
-"""
-
-from ai21 import AI21Client
-from ai21.models import RoleType, Penalty
-from ai21.models import ChatMessage
-
-system = "You're a support engineer in a SaaS company"
-messages = [
-    ChatMessage(text="Hello, I need help with a signup process.", role=RoleType.USER),
-    ChatMessage(text="Hi Alice, I can help you with that. What seems to be the problem?", role=RoleType.ASSISTANT),
-    ChatMessage(text="I am having trouble signing up for your product with my Google account.", role=RoleType.USER),
-]
-
-
-client = AI21Client()
-response = client.chat.create(
-    system=system,
-    messages=messages,
-    model="j2-ultra",
-    count_penalty=Penalty(
-        scale=0,
-        apply_to_emojis=False,
-        apply_to_numbers=False,
-        apply_to_stopwords=False,
-        apply_to_punctuation=False,
-        apply_to_whitespaces=False,
-    ),
-)
-
-print(response)
diff --git a/examples/studio/chat/async_chat_completions.py b/examples/studio/chat/async_chat_completions.py
index d7bbb2df..f8bae07d 100644
--- a/examples/studio/chat/async_chat_completions.py
+++ b/examples/studio/chat/async_chat_completions.py
@@ -18,7 +18,7 @@
 async def main():
     response = await client.chat.completions.create(
         messages=messages,
-        model="jamba-1.5-mini",
+        model="jamba-mini-1.6-2025-03",
         max_tokens=100,
         temperature=0.7,
         top_p=1.0,
diff --git a/examples/studio/chat/async_stream_chat_completions.py b/examples/studio/chat/async_stream_chat_completions.py
index 994205dc..f5653339 100644
--- a/examples/studio/chat/async_stream_chat_completions.py
+++ b/examples/studio/chat/async_stream_chat_completions.py
@@ -3,6 +3,7 @@
 from ai21 import AsyncAI21Client
 from ai21.models.chat import ChatMessage
 
+
 system = "You're a support engineer in a SaaS company"
 messages = [
     ChatMessage(content=system, role="system"),
@@ -17,7 +18,7 @@
 async def main():
     response = await client.chat.completions.create(
         messages=messages,
-        model="jamba-1.5-large",
+        model="jamba-mini-1.6-2025-03",
         max_tokens=100,
         stream=True,
     )
diff --git a/examples/studio/chat/chat_completions.py b/examples/studio/chat/chat_completions.py
index 727312bd..fee17adf 100644
--- a/examples/studio/chat/chat_completions.py
+++ b/examples/studio/chat/chat_completions.py
@@ -1,5 +1,6 @@
 from ai21 import AI21Client
-from ai21.models.chat.chat_message import SystemMessage, UserMessage, AssistantMessage
+from ai21.models.chat.chat_message import AssistantMessage, SystemMessage, UserMessage
+
 
 system = "You're a support engineer in a SaaS company"
 messages = [
@@ -13,7 +14,7 @@
 
 response = client.chat.completions.create(
     messages=messages,
-    model="jamba-1.5-mini",
+    model="jamba-mini-1.6-2025-03",
     max_tokens=100,
     temperature=0.7,
     top_p=1.0,
diff --git a/examples/studio/chat/chat_completions_jamba_instruct.py b/examples/studio/chat/chat_completions_jamba_instruct.py
index af84d0bc..21c51845 100644
--- a/examples/studio/chat/chat_completions_jamba_instruct.py
+++ b/examples/studio/chat/chat_completions_jamba_instruct.py
@@ -1,5 +1,6 @@
 from ai21 import AI21Client
-from ai21.models.chat.chat_message import SystemMessage, UserMessage, AssistantMessage
+from ai21.models.chat.chat_message import AssistantMessage, SystemMessage, UserMessage
+
 
 system = "You're a support engineer in a SaaS company"
 messages = [
diff --git a/examples/studio/chat/chat_documents.py b/examples/studio/chat/chat_documents.py
index ca7135a7..d079c0cd 100644
--- a/examples/studio/chat/chat_documents.py
+++ b/examples/studio/chat/chat_documents.py
@@ -4,6 +4,7 @@
 from ai21.logger import set_verbose
 from ai21.models.chat import ChatMessage, DocumentSchema
 
+
 set_verbose(True)
 
 schnoodel = DocumentSchema(
@@ -39,6 +40,10 @@
 
 client = AI21Client()
 
-response = client.chat.completions.create(messages=messages, model="jamba-1.5-mini", documents=documents)
+response = client.chat.completions.create(
+    messages=messages,
+    model="jamba-mini-1.6-2025-03",
+    documents=documents,
+)
 
 print(response)
diff --git a/examples/studio/chat/chat_function_calling.py b/examples/studio/chat/chat_function_calling.py
index e55feaf2..7cf61f99 100644
--- a/examples/studio/chat/chat_function_calling.py
+++ b/examples/studio/chat/chat_function_calling.py
@@ -46,7 +46,7 @@ def get_order_delivery_date(order_id: str) -> str:
 
 client = AI21Client()
 
-response = client.chat.completions.create(messages=messages, model="jamba-1.5-large", tools=tools)
+response = client.chat.completions.create(messages=messages, model="jamba-large-1.6-2025-03", tools=tools)
 
 """ AI models can be error-prone, it's crucial to ensure that the tool calls align with the expectations.
 The below code snippet demonstrates how to handle tool calls in the response and invoke the tool function
@@ -79,5 +79,5 @@ def get_order_delivery_date(order_id: str) -> str:
     tool_message = ToolMessage(role="tool", tool_call_id=tool_calls[0].id, content=delivery_date)
     messages.append(tool_message)
 
-    response = client.chat.completions.create(messages=messages, model="jamba-1.5-large", tools=tools)
+    response = client.chat.completions.create(messages=messages, model="jamba-large-1.6-2025-03", tools=tools)
     print(response.choices[0].message.content)
diff --git a/examples/studio/chat/chat_function_calling_multiple_tools.py b/examples/studio/chat/chat_function_calling_multiple_tools.py
index b61deeb2..cfdd7711 100644
--- a/examples/studio/chat/chat_function_calling_multiple_tools.py
+++ b/examples/studio/chat/chat_function_calling_multiple_tools.py
@@ -7,6 +7,7 @@
 from ai21.models.chat.tool_defintions import ToolDefinition
 from ai21.models.chat.tool_parameters import ToolParameters
 
+
 set_verbose(True)
 
 
@@ -74,7 +75,7 @@ def get_sunset_hour(place: str, date: str) -> str:
 
 client = AI21Client()
 
-response = client.chat.completions.create(messages=messages, model="jamba-1.5-large", tools=tools)
+response = client.chat.completions.create(messages=messages, model="jamba-large-1.6-2025-03", tools=tools)
 
 """ AI models can be error-prone, it's crucial to ensure that the tool calls align with the expectations.
 The below code snippet demonstrates how to handle tool calls in the response and invoke the tool function
@@ -122,5 +123,5 @@ def get_sunset_hour(place: str, date: str) -> str:
         tool_message = ToolMessage(role="tool", tool_call_id=tool_id_called, content=str(result))
         messages.append(tool_message)
 
-    response = client.chat.completions.create(messages=messages, model="jamba-1.5-large", tools=tools)
+    response = client.chat.completions.create(messages=messages, model="jamba-large-1.6-2025-03", tools=tools)
     print(response.choices[0].message.content)
diff --git a/examples/studio/chat/chat_response_format.py b/examples/studio/chat/chat_response_format.py
index 2c51be55..cc744303 100644
--- a/examples/studio/chat/chat_response_format.py
+++ b/examples/studio/chat/chat_response_format.py
@@ -1,4 +1,5 @@
 import json
+
 from enum import Enum
 
 from pydantic import BaseModel
@@ -7,6 +8,7 @@
 from ai21.logger import set_verbose
 from ai21.models.chat import ChatMessage, ResponseFormat
 
+
 set_verbose(True)
 
 
@@ -37,7 +39,7 @@ class ZooTicketsOrder(BaseModel):
 
 response = client.chat.completions.create(
     messages=messages,
-    model="jamba-1.5-large",
+    model="jamba-large-1.6-2025-03",
     max_tokens=800,
     temperature=0,
     response_format=ResponseFormat(type="json_object"),
diff --git a/examples/studio/chat/stream_chat_completions.py b/examples/studio/chat/stream_chat_completions.py
index 415b3260..6f4b42e5 100644
--- a/examples/studio/chat/stream_chat_completions.py
+++ b/examples/studio/chat/stream_chat_completions.py
@@ -1,6 +1,7 @@
 from ai21 import AI21Client
 from ai21.models.chat import ChatMessage
 
+
 system = "You're a support engineer in a SaaS company"
 messages = [
     ChatMessage(content=system, role="system"),
@@ -13,7 +14,7 @@
 
 response = client.chat.completions.create(
     messages=messages,
-    model="jamba-1.5-large",
+    model="jamba-large-1.6-2025-03",
     max_tokens=100,
     stream=True,
 )
diff --git a/tests/integration_tests/clients/bedrock/test_chat_completions.py b/tests/integration_tests/clients/bedrock/test_chat_completions.py
index c067f34a..00b4f2e3 100644
--- a/tests/integration_tests/clients/bedrock/test_chat_completions.py
+++ b/tests/integration_tests/clients/bedrock/test_chat_completions.py
@@ -4,6 +4,7 @@
 from ai21.models._pydantic_compatibility import _to_dict
 from ai21.models.chat import ChatMessage
 
+
 _SYSTEM_MSG = "You're a support engineer in a SaaS company"
 _MESSAGES = [
     ChatMessage(content=_SYSTEM_MSG, role="system"),
@@ -15,7 +16,7 @@ def test_chat_completions__when_stream__last_chunk_should_hold_bedrock_metrics()
     client = AI21BedrockClient()
     response = client.chat.completions.create(
         messages=_MESSAGES,
-        model=BedrockModelID.JAMBA_INSTRUCT_V1,
+        model=BedrockModelID.JAMBA_1_5_MINI,
         stream=True,
     )
 
@@ -29,7 +30,7 @@ async def test__async_chat_completions__when_stream__last_chunk_should_hold_bedr
     client = AsyncAI21BedrockClient()
     response = await client.chat.completions.create(
         messages=_MESSAGES,
-        model=BedrockModelID.JAMBA_INSTRUCT_V1,
+        model=BedrockModelID.JAMBA_1_5_MINI,
         stream=True,
     )
 
diff --git a/tests/integration_tests/clients/bedrock/test_completion.py b/tests/integration_tests/clients/bedrock/test_completion.py
index 8424267c..edf1bc00 100644
--- a/tests/integration_tests/clients/bedrock/test_completion.py
+++ b/tests/integration_tests/clients/bedrock/test_completion.py
@@ -7,6 +7,7 @@
 from ai21.models import Penalty
 from tests.integration_tests.skip_helpers import should_skip_bedrock_integration_tests
 
+
 _PROMPT = "Once upon a time, in a land far, far away, there was a"
 
 
@@ -43,7 +44,7 @@ def test_completion_penalties__should_return_response(
     completion_args = dict(
         prompt=_PROMPT,
         max_tokens=64,
-        model_id=BedrockModelID.J2_ULTRA_V1,
+        model=BedrockModelID.J2_ULTRA_V1,
         temperature=0,
         top_p=1,
         top_k_return=0,
@@ -68,15 +69,6 @@ def test_completion_penalties__should_return_response(
         assert isinstance(completion.data.text, str)
 
 
-@pytest.mark.skipif(should_skip_bedrock_integration_tests(), reason="No keys supplied for AWS. Skipping.")
-def test_completion__when_no_model_id__should_raise_exception():
-    with pytest.raises(ValueError) as e:
-        client = AI21BedrockClient()
-        client.completion.create(prompt=_PROMPT)
-
-    assert e.value.args[0] == "model should be provided 'create' method call"
-
-
 @pytest.mark.asyncio
 @pytest.mark.skipif(should_skip_bedrock_integration_tests(), reason="No keys supplied for AWS. Skipping.")
 @pytest.mark.parametrize(
@@ -111,7 +103,7 @@ async def test_async_completion_penalties__should_return_response(
     completion_args = dict(
         prompt=_PROMPT,
         max_tokens=64,
-        model_id=BedrockModelID.J2_ULTRA_V1,
+        model=BedrockModelID.J2_ULTRA_V1,
         temperature=0,
         top_p=1,
         top_k_return=0,
@@ -134,13 +126,3 @@ async def test_async_completion_penalties__should_return_response(
     assert len([completion.data.text for completion in response.completions]) == 1
     for completion in response.completions:
         assert isinstance(completion.data.text, str)
-
-
-@pytest.mark.asyncio
-@pytest.mark.skipif(should_skip_bedrock_integration_tests(), reason="No keys supplied for AWS. Skipping.")
-async def test_async_completion__when_no_model_id__should_raise_exception():
-    with pytest.raises(ValueError) as e:
-        client = AsyncAI21BedrockClient()
-        await client.completion.create(prompt=_PROMPT)
-
-    assert e.value.args[0] == "model should be provided 'create' method call"
diff --git a/tests/integration_tests/clients/studio/test_chat_completions.py b/tests/integration_tests/clients/studio/test_chat_completions.py
index 18df3091..b10b4cc7 100644
--- a/tests/integration_tests/clients/studio/test_chat_completions.py
+++ b/tests/integration_tests/clients/studio/test_chat_completions.py
@@ -1,14 +1,22 @@
 import json
+
 from unittest.mock import patch
-import pytest
 
 import httpx
+import pytest
 
 from ai21 import AI21Client, AsyncAI21Client
-from ai21.models.chat import ChatMessage, ChatCompletionResponse, ChatCompletionChunk, ChoicesChunk, ChoiceDelta
 from ai21.models import RoleType
+from ai21.models.chat import (
+    ChatCompletionChunk,
+    ChatCompletionResponse,
+    ChatMessage,
+    ChoiceDelta,
+    ChoicesChunk,
+)
+
 
-_MODEL = "jamba-instruct-preview"
+_MODEL = "jamba-mini-1.6-2025-03"
 _MESSAGES = [
     ChatMessage(
         content="Hello, I need help studying for the coming test, can you teach me about the US constitution? ",
diff --git a/tests/unittests/clients/bedrock/test_chat_completions.py b/tests/unittests/clients/bedrock/test_chat_completions.py
index 5ceec306..6f669c4a 100644
--- a/tests/unittests/clients/bedrock/test_chat_completions.py
+++ b/tests/unittests/clients/bedrock/test_chat_completions.py
@@ -1,19 +1,26 @@
 import json
-from typing import Optional, Union
-from unittest.mock import Mock, patch, ANY
+
+from typing import Optional
+from unittest.mock import ANY, Mock, patch
 
 import httpx
 import pytest
+
 from pytest_mock import MockerFixture
 
 from ai21 import AI21EnvConfig
 from ai21.clients.aws.aws_authorization import AWSAuthorization
-from ai21.clients.bedrock.ai21_bedrock_client import AI21BedrockClient, AsyncAI21BedrockClient
+from ai21.clients.bedrock.ai21_bedrock_client import (
+    AI21BedrockClient,
+    AsyncAI21BedrockClient,
+)
 from ai21.clients.bedrock.bedrock_model_id import BedrockModelID
-from ai21.models.chat import ChatMessage
-from tests.unittests.commons import FAKE_CHAT_COMPLETION_RESPONSE_DICT, FAKE_AUTH_HEADERS
-
 from ai21.models._pydantic_compatibility import _to_dict
+from ai21.models.chat import ChatMessage
+from tests.unittests.commons import (
+    FAKE_AUTH_HEADERS,
+    FAKE_CHAT_COMPLETION_RESPONSE_DICT,
+)
 
 
 _FAKE_RESPONSE_DICT = {
@@ -115,39 +122,3 @@ async def test__options_in_async_request(mock_async_httpx_client: Mock):
         data=json.dumps({"messages": [_to_dict(message)]}).encode("utf-8"),
         files=None,
     )
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize(
-    ids=[
-        "when_sync_client__model_and_model_id__should_raise_error",
-        "when_sync_client__no_model_and_no_model_id__should_raise_error",
-        "when_async_client__no_model_and_no_model_id__should_raise_error",
-        "when_async_client__no_model_and_no_model_id__should_raise_error",
-    ],
-    argvalues=[
-        (BedrockModelID.JAMBA_INSTRUCT_V1, BedrockModelID.JAMBA_INSTRUCT_V1, AI21BedrockClient()),
-        (None, None, AI21BedrockClient()),
-        (BedrockModelID.JAMBA_INSTRUCT_V1, BedrockModelID.JAMBA_INSTRUCT_V1, AsyncAI21BedrockClient()),
-        (None, None, AsyncAI21BedrockClient()),
-    ],
-    argnames=["model", "model_id", "client"],
-)
-async def test_model_id_and_model_supported_params(
-    model: Optional[BedrockModelID],
-    model_id: Optional[BedrockModelID],
-    client: Union[AI21BedrockClient, AsyncAI21BedrockClient],
-):
-    with pytest.raises(ValueError):
-        if isinstance(client, AsyncAI21BedrockClient):
-            await client.chat.completions.create(
-                model=model,
-                messages=[ChatMessage(content="This is a test", role="user")],
-                model_id=model_id,
-            )
-        else:
-            client.chat.completions.create(
-                model=model,
-                messages=[ChatMessage(content="This is a test", role="user")],
-                model_id=model_id,
-            )
diff --git a/tests/unittests/clients/studio/resources/chat/test_chat_completions.py b/tests/unittests/clients/studio/resources/chat/test_chat_completions.py
index 657dedc0..67a0d4a7 100644
--- a/tests/unittests/clients/studio/resources/chat/test_chat_completions.py
+++ b/tests/unittests/clients/studio/resources/chat/test_chat_completions.py
@@ -1,19 +1,22 @@
 import uuid
+
 from unittest.mock import AsyncMock
 
 import httpx
 import pytest
+
 from pytest_mock import MockerFixture
 
 from ai21 import AI21Client, AsyncAI21Client
 from ai21.models import ChatMessage, RoleType
 from ai21.models.chat import ChatCompletionResponse, ResponseFormat
-from ai21.models.chat.chat_message import UserMessage, SystemMessage, AssistantMessage
+from ai21.models.chat.chat_message import AssistantMessage, SystemMessage, UserMessage
 from ai21.models.chat.document_schema import DocumentSchema
 from ai21.models.chat.function_tool_definition import FunctionToolDefinition
 from ai21.models.chat.tool_defintions import ToolDefinition
 from ai21.models.chat.tool_parameters import ToolParameters
 
+
 _FAKE_API_KEY = "dummy_api_key"
 
 
@@ -46,18 +49,6 @@ async def test_async_chat_create__when_bad_import_to_chat_message__raise_error()
     )
 
 
-def test__when_model_and_model_id__raise_error():
-    client = AI21Client(
-        api_key=_FAKE_API_KEY,
-    )
-    with pytest.raises(ValueError):
-        client.chat.completions.create(
-            model="jamba-1.5",
-            model_id="jamba-instruct",
-            messages=[ChatMessage(role=RoleType.USER, text="Hello")],
-        )
-
-
 # ----------------------------------- Basic Happy Flow: ----------------------------------- #
 
 _FAKE_BASIC_HAPPY_FLOW_RESPONSE_JSON = {
@@ -81,7 +72,7 @@ def test_chat_completion_basic_happy_flow(mocker: MockerFixture) -> None:
     mocked_client.send.return_value = httpx.Response(status_code=200, json=_FAKE_BASIC_HAPPY_FLOW_RESPONSE_JSON)
     client = AI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response: ChatCompletionResponse = client.chat.completions.create(
-        model="jamba-1.5-mini", messages=[UserMessage(role="user", content="Hello")]
+        model="jamba-mini-1.6-2025-03", messages=[UserMessage(role="user", content="Hello")]
     )
     assert response.choices[0].message.content == _FAKE_BASIC_HAPPY_FLOW_EXPECTED_CONTENT
 
@@ -94,7 +85,7 @@ async def test_async_chat_completion_basic_happy_flow(mocker: MockerFixture) ->
     )
     async_client = AsyncAI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response: ChatCompletionResponse = await async_client.chat.completions.create(
-        model="jamba-1.5-mini", messages=[UserMessage(role="user", content="Hello")]
+        model="jamba-mini-1.6-2025-03", messages=[UserMessage(role="user", content="Hello")]
     )
     assert response.choices[0].message.content == _FAKE_BASIC_HAPPY_FLOW_EXPECTED_CONTENT
 
@@ -158,7 +149,7 @@ def test_chat_completion_with_tool_calls_happy_flow(mocker: MockerFixture) -> No
     mocked_client.send.return_value = httpx.Response(status_code=200, json=_FAKE_TOOL_CALLS_HAPPY_FLOW_RESPONSE_JSON)
     client = AI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = client.chat.completions.create(
-        model="jamba-1.5-mini", messages=_FAKE_TOOL_CALL_TEST_MESSAGES, tools=_FAKE_TOOL_CALL_TEST_TOOLS
+        model="jamba-mini-1.6-2025-03", messages=_FAKE_TOOL_CALL_TEST_MESSAGES, tools=_FAKE_TOOL_CALL_TEST_TOOLS
     )
     assert response.choices[0].message.tool_calls[0].function.name == _FAKE_TOOL_CALL_TEST_EXPECTED_FUNCTION_NAME
     assert (
@@ -174,7 +165,7 @@ async def test_async_chat_completion_with_tool_calls_happy_flow(mocker: MockerFi
     )
     async_client = AsyncAI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = await async_client.chat.completions.create(
-        model="jamba-1.5-mini", messages=_FAKE_TOOL_CALL_TEST_MESSAGES, tools=_FAKE_TOOL_CALL_TEST_TOOLS
+        model="jamba-mini-1.6-2025-03", messages=_FAKE_TOOL_CALL_TEST_MESSAGES, tools=_FAKE_TOOL_CALL_TEST_TOOLS
     )
     assert response.choices[0].message.tool_calls[0].function.name == _FAKE_TOOL_CALL_TEST_EXPECTED_FUNCTION_NAME
     assert (
@@ -240,7 +231,7 @@ def test_chat_completion_with_documents_happy_flow(mocker: MockerFixture) -> Non
     mocked_client.send.return_value = httpx.Response(status_code=200, json=_FAKE_DOCUMENTS_TEST_RESPONSE_JSON)
     client = AI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = client.chat.completions.create(
-        model="jamba-1.5-mini", messages=_FAKE_DOCUMENTS_TEST_MESSAGES, documents=_FAKE_DOCUMENTS_TEST_DOCUMENTS
+        model="jamba-mini-1.6-2025-03", messages=_FAKE_DOCUMENTS_TEST_MESSAGES, documents=_FAKE_DOCUMENTS_TEST_DOCUMENTS
     )
     assert response.choices[0].message.content == _FAKE_DOCUMENTS_TEST_EXPECTED_CONTENT
 
@@ -253,7 +244,7 @@ async def test_async_chat_completion_with_documents_happy_flow(mocker: MockerFix
     )
     async_client = AsyncAI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = await async_client.chat.completions.create(
-        model="jamba-1.5-mini", messages=_FAKE_DOCUMENTS_TEST_MESSAGES, documents=_FAKE_DOCUMENTS_TEST_DOCUMENTS
+        model="jamba-mini-1.6-2025-03", messages=_FAKE_DOCUMENTS_TEST_MESSAGES, documents=_FAKE_DOCUMENTS_TEST_DOCUMENTS
     )
     assert response.choices[0].message.content == _FAKE_DOCUMENTS_TEST_EXPECTED_CONTENT
 
@@ -310,7 +301,7 @@ def test_chat_completion_response_format_json_happy_flow(mocker: MockerFixture)
     )
     client = AI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = client.chat.completions.create(
-        model="jamba-1.5-mini",
+        model="jamba-mini-1.6-2025-03",
         messages=_FAKE_RESPONSE_FORMAT_JSON_TEST_MESSAGES,
         response_format=ResponseFormat(type="json_object"),
     )
@@ -325,7 +316,7 @@ async def test_async_chat_completion_response_format_json_happy_flow(mocker: Moc
     )
     async_client = AsyncAI21Client(api_key=_FAKE_API_KEY, http_client=mocked_client)
     response = await async_client.chat.completions.create(
-        model="jamba-1.5-mini",
+        model="jamba-mini-1.6-2025-03",
         messages=_FAKE_RESPONSE_FORMAT_JSON_TEST_MESSAGES,
         response_format=ResponseFormat(type="json_object"),
     )