diff --git a/litellm/main.py b/litellm/main.py
index 1840a900a60..6200d8cb18a 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -3387,7 +3387,7 @@ def embedding(
                 client=client,
                 aembedding=aembedding,
             )
-        elif custom_llm_provider == "cohere":
+        elif custom_llm_provider == "cohere" or custom_llm_provider == "cohere_chat":
             cohere_key = (
                 api_key
                 or litellm.cohere_key
@@ -3404,7 +3404,7 @@ def embedding(
                 logging_obj=logging,
                 model_response=EmbeddingResponse(),
                 aembedding=aembedding,
-                timeout=float(timeout),
+                timeout=timeout,
                 client=client,
             )
         elif custom_llm_provider == "huggingface":
diff --git a/litellm/tests/test_embedding.py b/litellm/tests/test_embedding.py
index 9c1e4aa2cd6..31268395f14 100644
--- a/litellm/tests/test_embedding.py
+++ b/litellm/tests/test_embedding.py
@@ -282,19 +282,19 @@ async def test_cohere_embedding(sync_mode):
 # test_cohere_embedding()
 
 
-def test_cohere_embedding3():
+@pytest.mark.parametrize("custom_llm_provider", ["cohere", "cohere_chat"])
+@pytest.mark.asyncio()
+async def test_cohere_embedding3(custom_llm_provider):
     try:
         litellm.set_verbose = True
-        response = embedding(
-            model="embed-english-v3.0",
+        response = await litellm.aembedding(
+            model=f"{custom_llm_provider}/embed-english-v3.0",
             input=["good morning from litellm", "this is another item"],
+            timeout=None,
+            max_retries=0,
         )
         print(f"response:", response)
 
-        custom_llm_provider = response._hidden_params["custom_llm_provider"]
-
-        assert custom_llm_provider == "cohere"
-
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
diff --git a/ui/litellm-dashboard/src/components/model_dashboard.tsx b/ui/litellm-dashboard/src/components/model_dashboard.tsx
index 2d4fbe36f5b..de92805b0bf 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard.tsx
@@ -147,6 +147,7 @@ enum Providers {
   MistralAI = "Mistral AI",
   OpenAI_Compatible = "OpenAI-Compatible Endpoints (Together AI, etc.)",
   Vertex_AI = "Vertex AI (Anthropic, Gemini, etc.)",
+  Cohere = "Cohere",
   Databricks = "Databricks",
   Ollama = "Ollama",
 }
@@ -160,6 +161,7 @@ const provider_map: Record<string, string> = {
   Bedrock: "bedrock",
   Groq: "groq",
   MistralAI: "mistral",
+  Cohere: "cohere_chat",
   OpenAI_Compatible: "openai",
   Vertex_AI: "vertex_ai",
   Databricks: "databricks",
@@ -928,7 +930,26 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
             _providerModels.push(key);
           }
         });
+
+        // Special case for cohere_chat
+        // we need both cohere_chat and cohere models to show on dropdown
+        if (providerKey == Providers.Cohere) {
+          console.log("adding cohere chat model")
+          Object.entries(modelMap).forEach(([key, value]) => {
+            if (
+              value !== null &&
+              typeof value === "object" &&
+              "litellm_provider" in (value as object) &&
+              ((value as any)["litellm_provider"] === "cohere")
+            ) {
+              _providerModels.push(key);
+            }
+          });
+        }
       }
+
+      
+
       setProviderModels(_providerModels);
       console.log(`providerModels: ${providerModels}`);
     }
@@ -1785,7 +1806,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
                   </Row>
                   <Form.Item
                   label="LiteLLM Model Name(s)"
-                  tooltip="Actual model name used for making litellm.completion() call."
+                  tooltip="Actual model name used for making litellm.completion() / litellm.embedding() call."
                   className="mb-0"
                 >
                   <Form.Item