diff --git a/tests/entrypoints/openai/test_chat_echo.py b/tests/entrypoints/openai/test_chat_echo.py
index de63f4ed218b6..0f459dd3d8574 100644
--- a/tests/entrypoints/openai/test_chat_echo.py
+++ b/tests/entrypoints/openai/test_chat_echo.py
@@ -22,6 +22,8 @@ def server():
         "--enforce-eager",
         "--max-model-len",
         "4080",
+        "--max-logprobs",  # test prompt_logprobs equal to -1
+        "151936"
     ]
 
     with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
@@ -77,3 +79,23 @@ async def test_chat_session_with_echo_and_continue_final_message(
     else:
         assert message.content is not None and saying not in message.content
     assert message.role == "assistant"
+
+
+@pytest.mark.asyncio
+async def test_prompt_logprobs(client: openai.AsyncOpenAI):
+    messages = [{
+        "role": "system",
+        "content": "You are a helpful assistant."
+    }, {
+        "role": "user",
+        "content": "Beijing is the capital of which country?"
+    }]
+
+    completion = await client.chat.completions.create(
+        model=MODEL_NAME,
+        messages=messages,
+        extra_body={"prompt_logprobs": -1},
+    )
+
+    assert completion.prompt_logprobs is not None
+    assert len(completion.prompt_logprobs) > 0
diff --git a/vllm/entrypoints/openai/protocol.py b/vllm/entrypoints/openai/protocol.py
index 8ecb1a8239c35..6b4c3f531dbce 100644
--- a/vllm/entrypoints/openai/protocol.py
+++ b/vllm/entrypoints/openai/protocol.py
@@ -822,13 +822,17 @@ class ChatCompletionRequest(OpenAIBaseModel):
     @classmethod
     def check_logprobs(cls, data):
         if (prompt_logprobs := data.get("prompt_logprobs")) is not None:
-            if data.get("stream") and prompt_logprobs > 0:
+            if data.get("stream") and (prompt_logprobs > 0
+                                       or prompt_logprobs == -1):
                 raise ValueError(
                     "`prompt_logprobs` are not available when `stream=True`.")
 
-            if prompt_logprobs < 0:
-                raise ValueError("`prompt_logprobs` must be a positive value.")
-
+            if prompt_logprobs < 0 and prompt_logprobs != -1:
+                raise ValueError(
+                    "`prompt_logprobs` must be a positive value or -1.")
+            if prompt_logprobs == -1 and not envs.VLLM_USE_V1:
+                raise ValueError("`prompt_logprobs=-1` is only supported with "
+                                 "vLLM engine V1.")
         if (top_logprobs := data.get("top_logprobs")) is not None:
             if top_logprobs < 0:
                 raise ValueError("`top_logprobs` must be a positive value.")
@@ -1246,13 +1250,17 @@ class CompletionRequest(OpenAIBaseModel):
     @classmethod
     def check_logprobs(cls, data):
         if (prompt_logprobs := data.get("prompt_logprobs")) is not None:
-            if data.get("stream") and prompt_logprobs > 0:
+            if data.get("stream") and (prompt_logprobs > 0
+                                       or prompt_logprobs == -1):
                 raise ValueError(
                     "`prompt_logprobs` are not available when `stream=True`.")
 
-            if prompt_logprobs < 0:
-                raise ValueError("`prompt_logprobs` must be a positive value.")
-
+            if prompt_logprobs < 0 and prompt_logprobs != -1:
+                raise ValueError(
+                    "`prompt_logprobs` must be a positive value or -1.")
+            if prompt_logprobs == -1 and not envs.VLLM_USE_V1:
+                raise ValueError("`prompt_logprobs=-1` is only supported with "
+                                 "vLLM engine V1.")
         if (logprobs := data.get("logprobs")) is not None and logprobs < 0:
             raise ValueError("`logprobs` must be a positive value.")