diff --git a/litellm/utils.py b/litellm/utils.py
index 83f2a7ec1..3d80ddf58 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -4254,15 +4254,9 @@ def get_optional_params(
     ## raise exception if provider doesn't support passed in param
     if custom_llm_provider == "anthropic":
         ## check if unsupported param passed in
-        supported_params = [
-            "stream",
-            "stop",
-            "temperature",
-            "top_p",
-            "max_tokens",
-            "tools",
-            "tool_choice",
-        ]
+        supported_params = get_supported_openai_params(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
         _check_valid_arg(supported_params=supported_params)
         # handle anthropic params
         if stream:
@@ -4286,17 +4280,9 @@ def get_optional_params(
             optional_params["tools"] = tools
     elif custom_llm_provider == "cohere":
         ## check if unsupported param passed in
-        supported_params = [
-            "stream",
-            "temperature",
-            "max_tokens",
-            "logit_bias",
-            "top_p",
-            "frequency_penalty",
-            "presence_penalty",
-            "stop",
-            "n",
-        ]
+        supported_params = get_supported_openai_params(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
         _check_valid_arg(supported_params=supported_params)
         # handle cohere params
         if stream:
@@ -4897,25 +4883,9 @@ def get_optional_params(
             extra_body  # openai client supports `extra_body` param
         )
     elif custom_llm_provider == "openrouter":
-        supported_params = [
-            "functions",
-            "function_call",
-            "temperature",
-            "top_p",
-            "n",
-            "stream",
-            "stop",
-            "max_tokens",
-            "presence_penalty",
-            "frequency_penalty",
-            "logit_bias",
-            "user",
-            "response_format",
-            "seed",
-            "tools",
-            "tool_choice",
-            "max_retries",
-        ]
+        supported_params = get_supported_openai_params(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
         _check_valid_arg(supported_params=supported_params)
 
         if functions is not None:
@@ -4969,28 +4939,9 @@ def get_optional_params(
         )
     else:  # assume passing in params for openai/azure openai
         print_verbose(f"UNMAPPED PROVIDER, ASSUMING IT'S OPENAI/AZURE")
-        supported_params = [
-            "functions",
-            "function_call",
-            "temperature",
-            "top_p",
-            "n",
-            "stream",
-            "stop",
-            "max_tokens",
-            "presence_penalty",
-            "frequency_penalty",
-            "logit_bias",
-            "user",
-            "response_format",
-            "seed",
-            "tools",
-            "tool_choice",
-            "max_retries",
-            "logprobs",
-            "top_logprobs",
-            "extra_headers",
-        ]
+        supported_params = get_supported_openai_params(
+            model=model, custom_llm_provider="openai"
+        )
         _check_valid_arg(supported_params=supported_params)
         if functions is not None:
             optional_params["functions"] = functions
@@ -5069,6 +5020,79 @@ def get_supported_openai_params(model: str, custom_llm_provider: str):
             "tools",
             "tool_choice",
         ]
+    elif custom_llm_provider == "cohere":
+        return [
+            "stream",
+            "temperature",
+            "max_tokens",
+            "logit_bias",
+            "top_p",
+            "frequency_penalty",
+            "presence_penalty",
+            "stop",
+            "n",
+        ]
+    elif custom_llm_provider == "maritalk":
+        return [
+            "stream",
+            "temperature",
+            "max_tokens",
+            "top_p",
+            "presence_penalty",
+            "stop",
+        ]
+    elif custom_llm_provider == "openai" or custom_llm_provider == "azure":
+        return [
+            "functions",
+            "function_call",
+            "temperature",
+            "top_p",
+            "n",
+            "stream",
+            "stop",
+            "max_tokens",
+            "presence_penalty",
+            "frequency_penalty",
+            "logit_bias",
+            "user",
+            "response_format",
+            "seed",
+            "tools",
+            "tool_choice",
+            "max_retries",
+            "logprobs",
+            "top_logprobs",
+            "extra_headers",
+        ]
+    elif custom_llm_provider == "openrouter":
+        return [
+            "functions",
+            "function_call",
+            "temperature",
+            "top_p",
+            "n",
+            "stream",
+            "stop",
+            "max_tokens",
+            "presence_penalty",
+            "frequency_penalty",
+            "logit_bias",
+            "user",
+            "response_format",
+            "seed",
+            "tools",
+            "tool_choice",
+            "max_retries",
+        ]
+    elif custom_llm_provider == "mistral":
+        return [
+            "temperature",
+            "top_p",
+            "stream",
+            "max_tokens",
+            "tools",
+            "tool_choice",
+        ]
 
 
 def get_llm_provider(