Veo 3.1-Pro refers to the high-capability access/configuration of Google’s Veo 3.1 family — a generation of short-form, audio-enabled video models that add richer native audio, improved narrative/editing controls and scene-extension tools; the “Pro” label is commonly used to indicate higher access or quality tiers in Google’s subscription and product ecosystem rather than to denote a radically different public architecture.

How to access Veo 3.1 Pro API

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to Veo 3 Pro API

Select the “\veo3.1-pro \” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url is Veo3 Async Generation(https://api.cometapi.com/v1/videos).

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

To learn more about Veo3.1, please see the Veo3.1 page.

Veo 3.1 Pro 的示例代码与 API

获取完整示例代码与 API 资源，简化 Veo 3.1 Pro 的集成流程，我们提供逐步指导，助你发挥模型潜能。

Python
Curl

import os
import time
import requests

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/veo/v1/video"

# Create video generation task
create_response = requests.post(
    f"{BASE_URL}/create",
    headers={
        "Authorization": COMETAPI_KEY,
        "Content-Type": "application/json",
    },
    json={
        "prompt": "An orange cat flying in the blue sky with white clouds, sunlight pouring onto its fur, creating a beautiful and dreamlike scene",
        "model": "veo3.1-pro",
        "enhance_prompt": True,
    },
)

task = create_response.json()
task_id = task["id"]
print(f"Task created: {task_id}")
print(f"Status: {task['status']}")

# Poll until video is ready
while True:
    query_response = requests.get(
        f"{BASE_URL}/query/{task_id}",
        headers={
            "Authorization": f"Bearer {COMETAPI_KEY}",
        },
    )

    result = query_response.json()
    status = result["data"]["status"]
    progress = result["data"].get("progress", "")

    print(f"Checking status... {status} {progress}")

    if status == "SUCCESS" or result["data"]["data"]["status"] == "completed":
        video_url = result["data"]["data"]["video_url"]
        print(f"
Video URL: {video_url}")
        break
    elif status == "FAILED":
        print(f"Failed: {result['data'].get('fail_reason', 'Unknown error')}")
        break

    time.sleep(10)

How to access Veo 3.1 Pro API

Step 2: Send Requests to Veo 3 Pro API

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

To learn more about Veo3.1, please see the Veo3.1 page.

Veo 3.1 Pro 的示例代码与 API

获取完整示例代码与 API 资源，简化 Veo 3.1 Pro 的集成流程，我们提供逐步指导，助你发挥模型潜能。

Python
Curl

import os
import time
import requests

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/veo/v1/video"

# Create video generation task
create_response = requests.post(
    f"{BASE_URL}/create",
    headers={
        "Authorization": COMETAPI_KEY,
        "Content-Type": "application/json",
    },
    json={
        "prompt": "An orange cat flying in the blue sky with white clouds, sunlight pouring onto its fur, creating a beautiful and dreamlike scene",
        "model": "veo3.1-pro",
        "enhance_prompt": True,
    },
)

task = create_response.json()
task_id = task["id"]
print(f"Task created: {task_id}")
print(f"Status: {task['status']}")

# Poll until video is ready
while True:
    query_response = requests.get(
        f"{BASE_URL}/query/{task_id}",
        headers={
            "Authorization": f"Bearer {COMETAPI_KEY}",
        },
    )

    result = query_response.json()
    status = result["data"]["status"]
    progress = result["data"].get("progress", "")

    print(f"Checking status... {status} {progress}")

    if status == "SUCCESS" or result["data"]["data"]["status"] == "completed":
        video_url = result["data"]["data"]["video_url"]
        print(f"
Video URL: {video_url}")
        break
    elif status == "FAILED":
        print(f"Failed: {result['data'].get('fail_reason', 'Unknown error')}")
        break

    time.sleep(10)

Veo 3.1 Pro

How to access Veo 3.1 Pro API

Step 2: Send Requests to Veo 3 Pro API

Step 3: Retrieve and Verify Results

Veo 3.1 Pro 的功能

Veo 3.1 Pro 的定价

Veo 3.1 Pro 的示例代码与 API

Veo 3.1 Pro 的版本

更多模型

Veo 3.1 Pro

How to access Veo 3.1 Pro API

Step 2: Send Requests to Veo 3 Pro API

Step 3: Retrieve and Verify Results

Veo 3.1 Pro 的功能

Veo 3.1 Pro 的定价

Veo 3.1 Pro 的示例代码与 API

Veo 3.1 Pro 的版本

更多模型