diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py
index bd65ebbec..fca1cc166 100644
--- a/metagpt/utils/token_counter.py
+++ b/metagpt/utils/token_counter.py
@@ -13,38 +13,50 @@ from metagpt.schema import RawMessage
 
 
 TOKEN_COSTS = {
-    "gpt-3.5-turbo": {"prompt": 0.002, "completion": 0.002},
-    "gpt-3.5-turbo-0301": {"prompt": 0.002, "completion": 0.002},
+    "gpt-3.5-turbo": {"prompt": 0.0015, "completion": 0.002},
+    "gpt-3.5-turbo-0301": {"prompt": 0.0015, "completion": 0.002},
+    "gpt-3.5-turbo-0613": {"prompt": 0.0015, "completion": 0.002},
+    "gpt-3.5-turbo-16k": {"prompt": 0.003, "completion": 0.004},
+    "gpt-3.5-turbo-16k-0613": {"prompt": 0.003, "completion": 0.004},
     "gpt-4-0314": {"prompt": 0.03, "completion": 0.06},
     "gpt-4": {"prompt": 0.03, "completion": 0.06},
     "gpt-4-32k": {"prompt": 0.06, "completion": 0.12},
     "gpt-4-32k-0314": {"prompt": 0.06, "completion": 0.12},
+    "gpt-4-0613": {"prompt": 0.06, "completion": 0.12},
     "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0},
 }
 
 
-def count_message_tokens(messages: list[RawMessage], model="gpt-3.5-turbo-0301"):
-    """Returns the number of tokens used by a list of messages."""
+def count_message_tokens(messages, model="gpt-3.5-turbo-0613"):
+    """Return the number of tokens used by a list of messages."""
     try:
         encoding = tiktoken.encoding_for_model(model)
     except KeyError:
         print("Warning: model not found. Using cl100k_base encoding.")
         encoding = tiktoken.get_encoding("cl100k_base")
-    if model == "gpt-3.5-turbo":
-        print("Warning: gpt-3.5-turbo may change over time. Returning num tokens assuming gpt-3.5-turbo-0301.")
-        return count_message_tokens(messages, model="gpt-3.5-turbo-0301")
-    elif model == "gpt-4":
-        print("Warning: gpt-4 may change over time. Returning num tokens assuming gpt-4-0314.")
-        return count_message_tokens(messages, model="gpt-4-0314")
+    if model in {
+        "gpt-3.5-turbo-0613",
+        "gpt-3.5-turbo-16k-0613",
+        "gpt-4-0314",
+        "gpt-4-32k-0314",
+        "gpt-4-0613",
+        "gpt-4-32k-0613",
+        }:
+        tokens_per_message = 3
+        tokens_per_name = 1
     elif model == "gpt-3.5-turbo-0301":
         tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
         tokens_per_name = -1  # if there's a name, the role is omitted
-    elif model == "gpt-4-0314":
-        tokens_per_message = 3
-        tokens_per_name = 1
+    elif "gpt-3.5-turbo" in model:
+        print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.")
+        return count_message_tokens(messages, model="gpt-3.5-turbo-0613")
+    elif "gpt-4" in model:
+        print("Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.")
+        return count_message_tokens(messages, model="gpt-4-0613")
     else:
-        raise NotImplementedError(f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""")
-
+        raise NotImplementedError(
+            f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens."""
+        )
     num_tokens = 0
     for message in messages:
         num_tokens += tokens_per_message