diff --git a/metagpt/actions/research.py b/metagpt/actions/research.py
index ce8d8a967..2a99a8d99 100644
--- a/metagpt/actions/research.py
+++ b/metagpt/actions/research.py
@@ -134,7 +134,7 @@ class CollectLinks(Action):
                     break
 
         model_name = config.llm.model
-        prompt = reduce_message_length(gen_msg(), model_name, system_text, 4096)
+        prompt = reduce_message_length(gen_msg(), model_name, system_text, config.llm.max_token)
         logger.debug(prompt)
         queries = await self._aask(prompt, [system_text])
         try:
diff --git a/metagpt/config2.py b/metagpt/config2.py
index bc6af18c6..ed1d23fa5 100644
--- a/metagpt/config2.py
+++ b/metagpt/config2.py
@@ -92,7 +92,7 @@ class Config(CLIParams, YamlModel):
         """
         default_config_paths: List[Path] = [
             METAGPT_ROOT / "config/config2.yaml",
-            Path.home() / ".metagpt/config2.yaml",
+            CONFIG_ROOT / "config2.yaml",
         ]
 
         dicts = [dict(os.environ)]
diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py
index cf5f94ba5..5e163960d 100644
--- a/metagpt/utils/token_counter.py
+++ b/metagpt/utils/token_counter.py
@@ -142,25 +142,24 @@ FIREWORKS_GRADE_TOKEN_COSTS = {
     "mixtral-8x7b": {"prompt": 0.4, "completion": 1.6},
 }
 
+# https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo
 TOKEN_MAX = {
-    "gpt-3.5-turbo": 4096,
-    "gpt-3.5-turbo-0301": 4096,
-    "gpt-3.5-turbo-0613": 4096,
-    "gpt-3.5-turbo-16k": 16384,
-    "gpt-3.5-turbo-16k-0613": 16384,
-    "gpt-35-turbo": 4096,
-    "gpt-35-turbo-16k": 16384,
-    "gpt-3.5-turbo-1106": 16384,
-    "gpt-4-0314": 8192,
-    "gpt-4": 8192,
-    "gpt-4-32k": 32768,
-    "gpt-4-32k-0314": 32768,
-    "gpt-4-0613": 8192,
-    "gpt-4-turbo-preview": 128000,
     "gpt-4-0125-preview": 128000,
+    "gpt-4-turbo-preview": 128000,
     "gpt-4-1106-preview": 128000,
     "gpt-4-vision-preview": 128000,
     "gpt-4-1106-vision-preview": 128000,
+    "gpt-4": 8192,
+    "gpt-4-0613": 8192,
+    "gpt-4-32k": 32768,
+    "gpt-4-32k-0613": 32768,
+    "gpt-3.5-turbo-0125": 16385,
+    "gpt-3.5-turbo": 16385,
+    "gpt-3.5-turbo-1106": 16385,
+    "gpt-3.5-turbo-instruct": 4096,
+    "gpt-3.5-turbo-16k": 16385,
+    "gpt-3.5-turbo-0613": 4096,
+    "gpt-3.5-turbo-16k-0613": 16385,
     "text-embedding-ada-002": 8192,
     "glm-3-turbo": 128000,
     "glm-4": 128000,
@@ -183,7 +182,7 @@ TOKEN_MAX = {
 }
 
 
-def count_message_tokens(messages, model="gpt-3.5-turbo-0613"):
+def count_message_tokens(messages, model="gpt-3.5-turbo-0125"):
     """Return the number of tokens used by a list of messages."""
     try:
         encoding = tiktoken.encoding_for_model(model)
@@ -213,8 +212,8 @@ def count_message_tokens(messages, model="gpt-3.5-turbo-0613"):
         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 "gpt-3.5-turbo" == 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")
+        print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0125.")
+        return count_message_tokens(messages, model="gpt-3.5-turbo-0125")
     elif "gpt-4" == 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")