diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index f78afb08c..f3db33c60 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -234,6 +234,24 @@
         "litellm_provider": "openai",
         "mode": "chat"
     },
+    "ft:davinci-002": {
+        "max_tokens": 16384,
+        "max_input_tokens": 16384,
+        "max_output_tokens": 4096,
+        "input_cost_per_token": 0.000002,
+        "output_cost_per_token": 0.000002,
+        "litellm_provider": "text-completion-openai",
+        "mode": "completion"
+    },
+    "ft:babbage-002": {
+        "max_tokens": 16384,
+        "max_input_tokens": 16384,
+        "max_output_tokens": 4096,
+        "input_cost_per_token": 0.0000004,
+        "output_cost_per_token": 0.0000004,
+        "litellm_provider": "text-completion-openai",
+        "mode": "completion"
+    },
     "text-embedding-3-large": {
         "max_tokens": 8191,
         "max_input_tokens": 8191,
diff --git a/litellm/utils.py b/litellm/utils.py
index 53e2c57fa..bfc81ae74 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -4381,6 +4381,28 @@ def cost_per_token(
             * completion_tokens
         )
         return prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar
+    elif "ft:davinci-002" in model:
+        print_verbose(f"Cost Tracking: {model} is an OpenAI FinteTuned LLM")
+        # fuzzy match ft:davinci-002:abcd-id-cool-litellm
+        prompt_tokens_cost_usd_dollar = (
+            model_cost_ref["ft:davinci-002"]["input_cost_per_token"] * prompt_tokens
+        )
+        completion_tokens_cost_usd_dollar = (
+            model_cost_ref["ft:davinci-002"]["output_cost_per_token"]
+            * completion_tokens
+        )
+        return prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar
+    elif "ft:babbage-002" in model:
+        print_verbose(f"Cost Tracking: {model} is an OpenAI FinteTuned LLM")
+        # fuzzy match ft:babbage-002:abcd-id-cool-litellm
+        prompt_tokens_cost_usd_dollar = (
+            model_cost_ref["ft:babbage-002"]["input_cost_per_token"] * prompt_tokens
+        )
+        completion_tokens_cost_usd_dollar = (
+            model_cost_ref["ft:babbage-002"]["output_cost_per_token"]
+            * completion_tokens
+        )
+        return prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar
     elif model in litellm.azure_llms:
         verbose_logger.debug(f"Cost Tracking: {model} is an Azure LLM")
         model = litellm.azure_llms[model]
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index f78afb08c..f3db33c60 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -234,6 +234,24 @@
         "litellm_provider": "openai",
         "mode": "chat"
     },
+    "ft:davinci-002": {
+        "max_tokens": 16384,
+        "max_input_tokens": 16384,
+        "max_output_tokens": 4096,
+        "input_cost_per_token": 0.000002,
+        "output_cost_per_token": 0.000002,
+        "litellm_provider": "text-completion-openai",
+        "mode": "completion"
+    },
+    "ft:babbage-002": {
+        "max_tokens": 16384,
+        "max_input_tokens": 16384,
+        "max_output_tokens": 4096,
+        "input_cost_per_token": 0.0000004,
+        "output_cost_per_token": 0.0000004,
+        "litellm_provider": "text-completion-openai",
+        "mode": "completion"
+    },
     "text-embedding-3-large": {
         "max_tokens": 8191,
         "max_input_tokens": 8191,