diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index cb1d9b5584..d88895559d 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1740,6 +1740,24 @@
         "supports_tool_choice": true,
         "supports_prompt_caching": true
     },
+    "groq/llama-3.3-70b-versatile": {
+        "max_tokens": 128000,
+        "max_input_tokens": 128000,
+        "max_output_tokens": 8192,
+        "input_cost_per_token": 0.00000059,
+        "output_cost_per_token": 0.00000079,
+        "litellm_provider": "groq",
+        "mode": "chat"
+    },
+    "groq/llama-3.3-70b-specdec": {
+        "max_tokens": 8192,
+        "max_input_tokens": 8192,
+        "max_output_tokens": 8192,
+        "input_cost_per_token": 0.00000059,
+        "output_cost_per_token": 0.00000099,
+        "litellm_provider": "groq",
+        "mode": "chat"
+    },
     "groq/llama2-70b-4096": {
         "max_tokens": 4096,
         "max_input_tokens": 4096,
@@ -3215,10 +3233,22 @@
         "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
     },
     "text-embedding-004": {
-        "max_tokens": 3072,
-        "max_input_tokens": 3072,
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
+        "output_cost_per_token": 0,
+        "litellm_provider": "vertex_ai-embedding-models",
+        "mode": "embedding",
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models"
+    },
+    "text-embedding-005": {
+        "max_tokens": 2048,
+        "max_input_tokens": 2048,
+        "output_vector_size": 768,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3228,7 +3258,8 @@
         "max_tokens": 2048,
         "max_input_tokens": 2048,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3238,7 +3269,8 @@
         "max_tokens": 3072,
         "max_input_tokens": 3072,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3248,7 +3280,8 @@
         "max_tokens": 3072,
         "max_input_tokens": 3072,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3258,7 +3291,8 @@
         "max_tokens": 3072,
         "max_input_tokens": 3072,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3268,7 +3302,8 @@
         "max_tokens": 3072,
         "max_input_tokens": 3072,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3278,7 +3313,8 @@
         "max_tokens": 3072,
         "max_input_tokens": 3072,
         "output_vector_size": 768,
-        "input_cost_per_token": 0.00000000625,
+        "input_cost_per_character": 0.000000025,
+        "input_cost_per_token": 0.0000001,
         "output_cost_per_token": 0,
         "litellm_provider": "vertex_ai-embedding-models",
         "mode": "embedding",
@@ -3538,6 +3574,33 @@
             "notes": "Rate limits not documented for gemini-exp-1114. Assuming same as gemini-1.5-pro."
         }
     },
+    "gemini/gemini-exp-1206": {
+        "max_tokens": 8192,
+        "max_input_tokens": 2097152,
+        "max_output_tokens": 8192,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 30, 
+        "input_cost_per_token": 0,
+        "input_cost_per_token_above_128k_tokens": 0,
+        "output_cost_per_token": 0,
+        "output_cost_per_token_above_128k_tokens": 0,
+        "litellm_provider": "gemini",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": true,
+        "supports_vision": true,
+        "supports_response_schema": true,
+        "tpm": 4000000,
+        "rpm": 1000,
+        "source": "https://ai.google.dev/pricing",
+        "metadata": {
+            "notes": "Rate limits not documented for gemini-exp-1206. Assuming same as gemini-1.5-pro."
+        }
+    },
     "gemini/gemini-1.5-flash-exp-0827": {
         "max_tokens": 8192,
         "max_input_tokens": 1048576,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 487165cad6..d88895559d 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1740,6 +1740,24 @@
         "supports_tool_choice": true,
         "supports_prompt_caching": true
     },
+    "groq/llama-3.3-70b-versatile": {
+        "max_tokens": 128000,
+        "max_input_tokens": 128000,
+        "max_output_tokens": 8192,
+        "input_cost_per_token": 0.00000059,
+        "output_cost_per_token": 0.00000079,
+        "litellm_provider": "groq",
+        "mode": "chat"
+    },
+    "groq/llama-3.3-70b-specdec": {
+        "max_tokens": 8192,
+        "max_input_tokens": 8192,
+        "max_output_tokens": 8192,
+        "input_cost_per_token": 0.00000059,
+        "output_cost_per_token": 0.00000099,
+        "litellm_provider": "groq",
+        "mode": "chat"
+    },
     "groq/llama2-70b-4096": {
         "max_tokens": 4096,
         "max_input_tokens": 4096,