diff --git a/metagpt/provider/openai_api.py b/metagpt/provider/openai_api.py
index 31907d9e8..85d5ef50e 100644
--- a/metagpt/provider/openai_api.py
+++ b/metagpt/provider/openai_api.py
@@ -37,7 +37,6 @@ from metagpt.utils.token_counter import (
     count_input_tokens,
     count_output_tokens,
     get_max_completion_tokens,
-    get_openrouter_tokens,
 )
 
 
@@ -92,6 +91,7 @@ class OpenAILLM(BaseLLM):
         )
         usage = None
         collected_messages = []
+        has_finished = False
         async for chunk in response:
             chunk_message = chunk.choices[0].delta.content or "" if chunk.choices else ""  # extract the message
             finish_reason = (
@@ -99,6 +99,10 @@ class OpenAILLM(BaseLLM):
             )
             log_llm_stream(chunk_message)
             collected_messages.append(chunk_message)
+            if has_finished:
+                # for oneapi, there has a usage chunk after finish_reason not none chunk
+                if hasattr(chunk, "usage"):
+                    usage = CompletionUsage(**chunk.usage)
             if finish_reason:
                 if hasattr(chunk, "usage") and chunk.usage is not None:
                     # Some services have usage as an attribute of the chunk, such as Fireworks
@@ -109,9 +113,10 @@ class OpenAILLM(BaseLLM):
                 elif hasattr(chunk.choices[0], "usage"):
                     # The usage of some services is an attribute of chunk.choices[0], such as Moonshot
                     usage = CompletionUsage(**chunk.choices[0].usage)
-                elif "openrouter.ai" in self.config.base_url:
+                elif "openrouter.ai" in self.config.base_url and hasattr(chunk, "usage") and chunk.usage is not None:
                     # due to it get token cost from api
-                    usage = await get_openrouter_tokens(chunk)
+                    usage = chunk.usage
+                has_finished = True
 
         log_llm_stream("\n")
         full_reply_content = "".join(collected_messages)
diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py
index 49d62b69a..90fd9e960 100644
--- a/metagpt/utils/token_counter.py
+++ b/metagpt/utils/token_counter.py
@@ -41,11 +41,19 @@ TOKEN_COSTS = {
     "gpt-4-1106-vision-preview": {"prompt": 0.01, "completion": 0.03},
     "gpt-4o": {"prompt": 0.005, "completion": 0.015},
     "gpt-4o-mini": {"prompt": 0.00015, "completion": 0.0006},
+    "gpt-4o-mini-2024-07-18": {"prompt": 0.00015, "completion": 0.0006},
     "gpt-4o-2024-05-13": {"prompt": 0.005, "completion": 0.015},
+    "gpt-4o-2024-08-06": {"prompt": 0.0025, "completion": 0.01},
+    "o1-preview": {"prompt": 0.015, "completion": 0.06},
+    "o1-preview-2024-09-12": {"prompt": 0.015, "completion": 0.06},
+    "o1-mini": {"prompt": 0.003, "completion": 0.012},
+    "o1-mini-2024-09-12": {"prompt": 0.003, "completion": 0.012},
     "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0},
     "glm-3-turbo": {"prompt": 0.0007, "completion": 0.0007},  # 128k version, prompt + completion tokens=0.005￥/k-tokens
     "glm-4": {"prompt": 0.014, "completion": 0.014},  # 128k version, prompt + completion tokens=0.1￥/k-tokens
-    "gemini-pro": {"prompt": 0.00025, "completion": 0.0005},
+    "gemini-1.5-flash": {"prompt": 0.000075, "completion": 0.0003},
+    "gemini-1.5-pro": {"prompt": 0.0035, "completion": 0.0105},
+    "gemini-1.0-pro": {"prompt": 0.0005, "completion": 0.0015},
     "moonshot-v1-8k": {"prompt": 0.012, "completion": 0.012},  # prompt + completion tokens=0.012￥/k-tokens
     "moonshot-v1-32k": {"prompt": 0.024, "completion": 0.024},
     "moonshot-v1-128k": {"prompt": 0.06, "completion": 0.06},
@@ -69,15 +77,20 @@ TOKEN_COSTS = {
     "llama3-70b-8192": {"prompt": 0.0059, "completion": 0.0079},
     "openai/gpt-3.5-turbo-0125": {"prompt": 0.0005, "completion": 0.0015},
     "openai/gpt-4-turbo-preview": {"prompt": 0.01, "completion": 0.03},
+    "openai/o1-preview": {"prompt": 0.015, "completion": 0.06},
+    "openai/o1-mini": {"prompt": 0.003, "completion": 0.012},
+    "anthropic/claude-3-opus": {"prompt": 0.015, "completion": 0.075},
+    "anthropic/claude-3.5-sonnet": {"prompt": 0.003, "completion": 0.015},
+    "google/gemini-pro-1.5": {"prompt": 0.0025, "completion": 0.0075},  # for openrouter, end
     "deepseek-chat": {"prompt": 0.00014, "completion": 0.00028},
     "deepseek-coder": {"prompt": 0.00014, "completion": 0.00028},
     # For ark model https://www.volcengine.com/docs/82379/1099320
-    "doubao-lite-4k-240515": {"prompt": 0.000042, "completion": 0.000084},
-    "doubao-lite-32k-240515": {"prompt": 0.000042, "completion": 0.000084},
-    "doubao-lite-128k-240515": {"prompt": 0.00011, "completion": 0.00013},
-    "doubao-pro-4k-240515": {"prompt": 0.00011, "completion": 0.00028},
-    "doubao-pro-32k-240515": {"prompt": 0.00011, "completion": 0.00028},
-    "doubao-pro-128k-240515": {"prompt": 0.0007, "completion": 0.0012},
+    "doubao-lite-4k-240515": {"prompt": 0.000043, "completion": 0.000086},
+    "doubao-lite-32k-240515": {"prompt": 0.000043, "completion": 0.000086},
+    "doubao-lite-128k-240515": {"prompt": 0.00011, "completion": 0.00014},
+    "doubao-pro-4k-240515": {"prompt": 0.00011, "completion": 0.00029},
+    "doubao-pro-32k-240515": {"prompt": 0.00011, "completion": 0.00029},
+    "doubao-pro-128k-240515": {"prompt": 0.0007, "completion": 0.0013},
     "llama3-70b-llama3-70b-instruct": {"prompt": 0.0, "completion": 0.0},
     "llama3-8b-llama3-8b-instruct": {"prompt": 0.0, "completion": 0.0},
 }
@@ -142,10 +155,10 @@ Some new model published by Alibaba will be prioritized to be released on the Mo
 Token price on Model Studio shows on https://help.aliyun.com/zh/model-studio/getting-started/models#ced16cb6cdfsy
 """
 DASHSCOPE_TOKEN_COSTS = {
-    "qwen2.5-72b-instruct": {"prompt": 0.004, "completion": 0.012},  # per 1k tokens
-    "qwen2.5-32b-instruct": {"prompt": 0.0035, "completion": 0.007},
-    "qwen2.5-14b-instruct": {"prompt": 0.002, "completion": 0.006},
-    "qwen2.5-7b-instruct": {"prompt": 0.001, "completion": 0.002},
+    "qwen2.5-72b-instruct": {"prompt": 0.00057, "completion": 0.0017},  # per 1k tokens
+    "qwen2.5-32b-instruct": {"prompt": 0.0005, "completion": 0.001},
+    "qwen2.5-14b-instruct": {"prompt": 0.00029, "completion": 0.00086},
+    "qwen2.5-7b-instruct": {"prompt": 0.00014, "completion": 0.00029},
     "qwen2.5-3b-instruct": {"prompt": 0.0, "completion": 0.0},
     "qwen2.5-1.5b-instruct": {"prompt": 0.0, "completion": 0.0},
     "qwen2.5-0.5b-instruct": {"prompt": 0.0, "completion": 0.0},
@@ -199,16 +212,24 @@ FIREWORKS_GRADE_TOKEN_COSTS = {
 
 # https://console.volcengine.com/ark/region:ark+cn-beijing/model
 DOUBAO_TOKEN_COSTS = {
-    "doubao-lite": {"prompt": 0.0003, "completion": 0.0006},
-    "doubao-lite-128k": {"prompt": 0.0008, "completion": 0.0010},
-    "doubao-pro": {"prompt": 0.0008, "completion": 0.0020},
-    "doubao-pro-128k": {"prompt": 0.0050, "completion": 0.0090},
+    "doubao-lite": {"prompt": 0.000043, "completion": 0.000086},
+    "doubao-lite-128k": {"prompt": 0.00011, "completion": 0.00014},
+    "doubao-pro": {"prompt": 0.00011, "completion": 0.00029},
+    "doubao-pro-128k": {"prompt": 0.00071, "completion": 0.0013},
+    "doubao-pro-256k": {"prompt": 0.00071, "completion": 0.0013},
 }
 
 # https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo
 TOKEN_MAX = {
-    "gpt-4o-2024-05-13": 128000,
+    "o1-preview": 128000,
+    "o1-preview-2024-09-12": 128000,
+    "o1-mini": 128000,
+    "o1-mini-2024-09-12": 128000,
     "gpt-4o": 128000,
+    "gpt-4o-2024-05-13": 128000,
+    "gpt-4o-2024-08-06": 128000,
+    "gpt-4o-mini-2024-07-18": 128000,
+    "gpt-4o-mini": 128000,
     "gpt-4-turbo-2024-04-09": 128000,
     "gpt-4-0125-preview": 128000,
     "gpt-4-turbo-preview": 128000,
@@ -220,7 +241,6 @@ TOKEN_MAX = {
     "gpt-4-0613": 8192,
     "gpt-4-32k": 32768,
     "gpt-4-32k-0613": 32768,
-    "gpt-4o-mini": 128000,
     "gpt-3.5-turbo-0125": 16385,
     "gpt-3.5-turbo": 16385,
     "gpt-3.5-turbo-1106": 16385,
@@ -231,7 +251,9 @@ TOKEN_MAX = {
     "text-embedding-ada-002": 8192,
     "glm-3-turbo": 128000,
     "glm-4": 128000,
-    "gemini-pro": 32768,
+    "gemini-1.5-flash": 1000000,
+    "gemini-1.5-pro": 2000000,
+    "gemini-1.0-pro": 32000,
     "moonshot-v1-8k": 8192,
     "moonshot-v1-32k": 32768,
     "moonshot-v1-128k": 128000,
@@ -255,6 +277,11 @@ TOKEN_MAX = {
     "llama3-70b-8192": 8192,
     "openai/gpt-3.5-turbo-0125": 16385,
     "openai/gpt-4-turbo-preview": 128000,
+    "openai/o1-preview": 128000,
+    "openai/o1-mini": 128000,
+    "anthropic/claude-3-opus": 200000,
+    "anthropic/claude-3.5-sonnet": 200000,
+    "google/gemini-pro-1.5": 4000000,
     "deepseek-chat": 32768,
     "deepseek-coder": 16385,
     "doubao-lite-4k-240515": 4000,
@@ -375,7 +402,13 @@ def count_input_tokens(messages, model="gpt-3.5-turbo-0125"):
         "gpt-4-1106-vision-preview",
         "gpt-4o",
         "gpt-4o-2024-05-13",
+        "gpt-4o-2024-08-06",
         "gpt-4o-mini",
+        "gpt-4o-mini-2024-07-18",
+        "o1-preview",
+        "o1-preview-2024-09-12",
+        "o1-mini",
+        "o1-mini-2024-09-12",
     }:
         tokens_per_message = 3  # # every reply is primed with <|start|>assistant<|message|>
         tokens_per_name = 1