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Home/Models/Google/Veo 3 Pro
G

Veo 3 Pro

每秒:$0.3125
Veo 3 pro denotes the production-grade Veo 3 video model experience (high fidelity, native audio, and extended tooling)
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版本

How to access Veo 3 Pro API

Step 1: Sign Up for API Key

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.

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Step 2: Send Requests to Veo 3 Pro API

Select the “\veo3-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, please see the Veo3 page.

Veo 3 Pro 的功能

探索 Veo 3 Pro 的核心功能,專為提升效能和可用性而設計。了解這些功能如何為您的專案帶來效益並改善使用者體驗。

Veo 3 Pro 的定價

探索 Veo 3 Pro 的競爭性定價,專為滿足各種預算和使用需求而設計。我們靈活的方案確保您只需為實際使用量付費,讓您能夠隨著需求增長輕鬆擴展。了解 Veo 3 Pro 如何在保持成本可控的同時提升您的專案效果。
彗星價格 (USD / M Tokens)官方價格 (USD / M Tokens)折扣
每秒:$0.3125
每秒:$0.390625
-20%

Veo 3 Pro 的範例程式碼和 API

存取完整的範例程式碼和 API 資源,以簡化您的 Veo 3 Pro 整合流程。我們詳盡的文件提供逐步指引,協助您在專案中充分發揮 Veo 3 Pro 的潛力。
Python
JavaScript
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)

Python Code Example

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"\nVideo URL: {video_url}")
        break
    elif status == "FAILED":
        print(f"Failed: {result['data'].get('fail_reason', 'Unknown error')}")
        break

    time.sleep(10)

JavaScript Code Example

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const BASE_URL = "https://api.cometapi.com/veo/v1/video";

async function sleep(ms) {
  return new Promise((resolve) => setTimeout(resolve, ms));
}

async function main() {
  // Create video generation task
  const createResponse = await fetch(`${BASE_URL}/create`, {
    method: "POST",
    headers: {
      Authorization: COMETAPI_KEY,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      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,
    }),
  });

  const task = await createResponse.json();
  const taskId = task.id;
  console.log(`Task created: ${taskId}`);
  console.log(`Status: ${task.status}`);

  // Poll until video is ready
  while (true) {
    const queryResponse = await fetch(`${BASE_URL}/query/${taskId}`, {
      headers: {
        Authorization: `Bearer ${COMETAPI_KEY}`,
      },
    });

    const result = await queryResponse.json();
    const status = result.data.status;
    const progress = result.data.progress || "";

    console.log(`Checking status... ${status} ${progress}`);

    if (status === "SUCCESS" || result.data.data.status === "completed") {
      const videoUrl = result.data.data.video_url;
      console.log(`\nVideo URL: ${videoUrl}`);
      break;
    } else if (status === "FAILED") {
      console.log(`Failed: ${result.data.fail_reason || "Unknown error"}`);
      break;
    }

    await sleep(10000);
  }
}

main();

Curl Code Example

#!/bin/bash
# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here

BASE_URL="https://api.cometapi.com/veo/v1/video"

# Create video generation task
response=$(curl -s -X POST "${BASE_URL}/create" \
  -H "Authorization: $COMETAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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_id=$(echo "$response" | jq -r '.id')
status=$(echo "$response" | jq -r '.status')

echo "Task created: ${task_id}"
echo "Status: ${status}"

# Poll until video is ready
while true; do
  query_response=$(curl -s -X GET "${BASE_URL}/query/${task_id}" \
    -H "Authorization: Bearer $COMETAPI_KEY")

  status=$(echo "$query_response" | jq -r '.data.status')
  progress=$(echo "$query_response" | jq -r '.data.progress // ""')
  completed=$(echo "$query_response" | jq -r '.data.data.status')

  echo "Checking status... ${status} ${progress}"

  if [ "$status" = "SUCCESS" ] || [ "$completed" = "completed" ]; then
    video_url=$(echo "$query_response" | jq -r '.data.data.video_url')
    echo ""
    echo "Video URL: ${video_url}"
    break
  elif [ "$status" = "FAILED" ]; then
    fail_reason=$(echo "$query_response" | jq -r '.data.fail_reason // "Unknown error"')
    echo "Failed: ${fail_reason}"
    break
  fi

  sleep 10
done

Veo 3 Pro的版本

Veo 3 Pro擁有多個快照的原因可能包括:更新後輸出結果存在差異需保留舊版快照以確保一致性、為開發者提供適應與遷移的過渡期,以及不同快照對應全球或區域端點以優化使用者體驗等潛在因素。各版本間的具體差異請參閱官方文件說明。
veo3-pro
veo3-pro-framesThe veo3-frames model is specifically optimized for frame sequence generation.The veo3-frames model is specifically optimized for frame sequence generation, and includes a diagram supporting the first and last frames.

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Veo 3.1 Pro

每秒:$0.3125
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.
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每秒:$0.0625
Google DeepMind’s Veo 3 represents the cutting edge of text-to-video generation, marking the first time a large-scale generative AI model seamlessly synchronizes high-fidelity video with accompanying audio—including dialogue, sound effects, and ambient soundscapes.
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