diff --git a/gptme/init.py b/gptme/init.py
index a813cde4..06a29e30 100644
--- a/gptme/init.py
+++ b/gptme/init.py
@@ -1,13 +1,19 @@
 import atexit
 import logging
 import readline
+from typing import cast
 
 from dotenv import load_dotenv
 
 from .config import config_path, load_config, set_config_value
 from .dirs import get_readline_history_file
 from .llm import init_llm
-from .models import PROVIDERS, get_recommended_model, set_default_model
+from .models import (
+    PROVIDERS,
+    Provider,
+    get_recommended_model,
+    set_default_model,
+)
 from .tabcomplete import register_tabcomplete
 from .tools import init_tools
 from .util import console
@@ -53,9 +59,9 @@ def init(model: str | None, interactive: bool, tool_allowlist: list[str] | None)
         raise ValueError("No API key found, couldn't auto-detect provider")
 
     if any(model.startswith(f"{provider}/") for provider in PROVIDERS):
-        provider, model = model.split("/", 1)
+        provider, model = cast(tuple[Provider, str], model.split("/", 1))
     else:
-        provider, model = model, None
+        provider, model = cast(tuple[Provider, str], (model, None))
 
     # set up API_KEY and API_BASE, needs to be done before loading history to avoid saving API_KEY
     init_llm(provider)
diff --git a/gptme/models.py b/gptme/models.py
index bf7c0084..3f144c85 100644
--- a/gptme/models.py
+++ b/gptme/models.py
@@ -1,6 +1,11 @@
 import logging
 from dataclasses import dataclass
-from typing import Literal, TypedDict, get_args
+from typing import (
+    Literal,
+    TypedDict,
+    cast,
+    get_args,
+)
 
 from typing_extensions import NotRequired
 
@@ -40,7 +45,7 @@ class _ModelDictMeta(TypedDict):
 
 # known models metadata
 # TODO: can we get this from the API?
-MODELS: dict[str, dict[str, _ModelDictMeta]] = {
+MODELS: dict[Provider, dict[str, _ModelDictMeta]] = {
     "openai": OPENAI_MODELS,
     "anthropic": {
         "claude-3-opus-20240229": {
@@ -49,6 +54,12 @@ class _ModelDictMeta(TypedDict):
             "price_input": 15,
             "price_output": 75,
         },
+        "claude-3-5-sonnet-20241022": {
+            "context": 200_000,
+            "max_output": 4096,
+            "price_input": 3,
+            "price_output": 15,
+        },
         "claude-3-5-sonnet-20240620": {
             "context": 200_000,
             "max_output": 4096,
@@ -85,12 +96,12 @@ def get_model(model: str | None = None) -> ModelMeta:
 
     # if only provider is given, get recommended model
     if model in PROVIDERS:
-        provider = model
+        provider = cast(Provider, model)
         model = get_recommended_model(provider)
         return get_model(f"{provider}/{model}")
 
     if any(f"{provider}/" in model for provider in PROVIDERS):
-        provider, model = model.split("/", 1)
+        provider, model = cast(tuple[Provider, str], model.split("/", 1))
         if provider not in MODELS or model not in MODELS[provider]:
             if provider not in ["openrouter", "local"]:
                 logger.warning(
@@ -113,18 +124,18 @@ def get_model(model: str | None = None) -> ModelMeta:
     )
 
 
-def get_recommended_model(provider: str) -> str:  # pragma: no cover
+def get_recommended_model(provider: Provider) -> str:  # pragma: no cover
     if provider == "openai":
         return "gpt-4o"
     elif provider == "openrouter":
         return "meta-llama/llama-3.1-405b-instruct"
     elif provider == "anthropic":
-        return "claude-3-5-sonnet-20240620"
+        return "claude-3-5-sonnet-20241022"
     else:
-        raise ValueError(f"Unknown provider {provider}")
+        raise ValueError(f"Provider {provider} did not have a recommended model")
 
 
-def get_summary_model(provider: str) -> str:  # pragma: no cover
+def get_summary_model(provider: Provider) -> str:  # pragma: no cover
     if provider == "openai":
         return "gpt-4o-mini"
     elif provider == "openrouter":
@@ -132,4 +143,4 @@ def get_summary_model(provider: str) -> str:  # pragma: no cover
     elif provider == "anthropic":
         return "claude-3-haiku-20240307"
     else:
-        raise ValueError(f"Unknown provider {provider}")
+        raise ValueError(f"Provider {provider} did not have a summary model")