Can the Vidu Q3 API generate dialogue, music, and video together?

Yes. Vidu Q3 natively generates video, dialogue, narration, sound effects, and background music in a synchronized output, eliminating the need for separate audio production.

What is the maximum video length supported by Vidu Q3 API?

Vidu Q3 supports video durations from 1 to 16 seconds per generation while maintaining audio-video synchronization throughout the clip.

When should I choose Vidu Q3 instead of Vidu Q3 Turbo?

Choose Vidu Q3 when output quality, narrative consistency, and cinematic storytelling are more important than generation speed. Q3 Turbo is optimized for faster iteration.

Does the Vidu Q3 API support image-to-video generation?

Yes. Vidu Q3 supports image-to-video workflows that animate still images into motion sequences while preserving visual identity and scene consistency.

Can Vidu Q3 create multi-character conversations with synchronized speech?

Yes. One of Vidu Q3's key capabilities is support for multi-speaker dialogue generation with synchronized audio and visual output.

What resolutions are available in the Vidu Q3 API?

The model supports 540p, 720p, and 1080p video generation at 24 FPS.

Is Vidu Q3 suitable for AI short films and narrative advertising?

Yes. Vidu Q3 was specifically designed for story-driven content such as short dramas, cinematic scenes, narrative advertisements, and comic-style productions.

What are the main limitations of the Vidu Q3 API?

A single generation is limited to 16 seconds, so longer productions require multiple clips and post-production editing to create extended narratives.

Affordable Vidu Q3 API | image-to-video

Technical Specifications of Vidu Q3

Item	Vidu Q3 (viduq3-pro)
Model ID	viduq3-pro
Provider	Vidu
Model Family	Vidu Q3 Series
Model Type	AI Video Generation
Input Types	Text, Image, Start Image + End Image
Output Type	Video with native synchronized audio
Resolution	540p, 720p, 1080p
Duration	1–16 seconds
Frame Rate	24 FPS
Audio Generation	Native audio-video generation
Text-to-Video	Supported
Image-to-Video	Supported
Start-End-to-Video	Supported
Intelligent Shot Switching	Supported
Primary Focus	Narrative storytelling and cinematic video creation

What is Vidu Q3?

Vidu Q3 is Vidu's flagship third-generation video model built specifically for story-driven video generation. Unlike traditional AI video systems that generate visuals first and audio later, Vidu Q3 creates dialogue, narration, sound effects, music, and video simultaneously, enabling synchronized storytelling directly from a single generation workflow. The model is designed for short dramas, cinematic sequences, advertising content, and character-driven narratives.

Main Features of Vidu Q3

Native audio-video synchronization: Generates dialogue, narration, sound effects, and music directly alongside video.
16-second continuous generation: Produces complete narrative clips in a single generation run.
Frame-accurate camera control: Supports detailed control over camera movement, pacing, and scene composition.
Multi-speaker dialogue support: Designed for conversations and character interactions.
Multilingual generation: Supports English, Japanese, and Chinese content generation.
Cinematic storytelling optimization: Tuned specifically for drama, film-style content, comics, and narrative advertising.

Benchmark Performance of Vidu Q3

Unlike language models, Vidu Q3 does not publish standardized benchmark scores such as MMLU or SWE-Bench. Publicly disclosed performance indicators include:

Metric	Public Information
Maximum Duration	16 seconds
Maximum Resolution	1080p
Native Audio Generation	Yes
Multi-Speaker Dialogue	Yes
Multilingual Support	English, Japanese, Chinese
Frame-Level Camera Control	Yes

Artificial Analysis score of 1241 and ranking among leading global video-generation systems, although independent benchmark validation remains limited.

Vidu Q3 vs Vidu Q3 Turbo vs Kling 2.1

Feature	Vidu Q3	Vidu Q3 Turbo	Kling 2.1
Positioning	Premium quality	Speed optimized	General video generation
Native Audio	Yes	Yes	Workflow dependent
Max Duration	16s	16s	Varies
Resolution	Up to 1080p	Up to 1080p	Up to 1080p
Camera Control	Advanced	Advanced	Strong
Narrative Focus	Highest	Moderate	Strong
Generation Speed	Standard	Faster	Competitive

Known Limitations

Individual clips remain limited to 16 seconds.
Long-form productions require combining multiple generations.
Public benchmark transparency remains limited compared with leading LLM providers.
Narrative quality depends heavily on prompt design and scene planning.

Representative Use Cases

AI Short Films

Generate cinematic scenes with synchronized speech, ambient sound, and music.

Short Drama Production

Create serialized drama content without separate audio-production workflows.

Advertising and Brand Storytelling

Produce narrative commercials with integrated voiceover and sound design.

Comic and Manga Adaptation

Transform storyboards and illustrations into animated narrative clips.

Generate TikTok, Shorts, and Reels content with ready-to-publish synchronized audio.

Model Version Notes

Vidu Q3 represents the premium version of the Q3 family. Compared with Vidu Q3 Turbo, the standard Q3 model prioritizes output quality, narrative consistency, and cinematic storytelling rather than generation speed. Both models support native audio-video output and up to 16-second video generation.

How to Access and Deploy the viduq3 API on CometAPI

Create your CometAPI account or sign in to an existing account to access the API once it becomes available . After release, you will be able to obtain a HappyHorse-1.0 API key from the platform and be ready for testing or integration.

Step 2: Test the viduq3 API for Free in the Playground

Before deployment, you can try out the viduq3 API directly in the CometAPI playground. This provides an easy way to explore output quality, test hints, or image inputs, and gain a clearer understanding of the API's performance before using it in production.

Step 3: Deploy the viduq3 API in Production

After testing, the next step is to deploy the viduq3 API to your own application, product, or internal environment. This allows you to use the viduq3 API in real-world video generation scenarios where stable access and practical integration are crucial.

Pricing for Vidu Q3

Explore competitive pricing for Vidu Q3, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how Vidu Q3 can enhance your projects while keeping costs manageable.

Vidu Video Generation Pricing

Pricing (Per Second)

Model	360p	540p	720p	1080p
`viduq3`	$0.056	$0.056	$0.1232	$0.1232
`viduq3-turbo`	$0.028	$0.028	$0.0616	$0.0616

💡 Billed per second. Total cost = price per second × video duration (seconds).

Sample code and API for Vidu Q3

Access comprehensive sample code and API resources for Vidu Q3 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of Vidu Q3 in your projects.

Python
JavaScript
Curl

# Create a video with viduq3 using raw HTTP requests
import os
import time
import requests

api_key = os.environ.get("COMETAPI_KEY")
base_url = "https://api.cometapi.com/v1"
headers = {"Authorization": f"Bearer {api_key}"}

# Step 1: Submit the video generation request
print("Submitting video generation request...")
response = requests.post(
    f"{base_url}/videos",
    headers=headers,
    files={
        "model": (None, "viduq3"),
        "prompt": (None, "Ultra-realistic cinematic shot of an astronaut walking slowly through soft fog, volumetric light in light blue and pale amber tones, shallow depth of field, 35mm film texture, graceful camera movement."),
        "seconds": (None, "1"),
        "size": (None, "960x528"),
    },
)

result = response.json()
print(f"Response: {result}")

video_id = result.get("id") or result.get("task_id")
print(f"Video ID: {video_id}")

# Step 2: Poll for progress until 100%
print("
Checking video generation progress...")
while True:
    try:
        status_response = requests.get(f"{base_url}/videos/{video_id}", headers=headers)
        status_result = status_response.json()

        data = status_result.get("data") or status_result
        progress = data.get("progress", "0%")
        status = data.get("status", "unknown")

        print(f"Progress: {progress}, Status: {status}")

        if status in ["FAILURE", "failed", "error"]:
            print("Video generation failed!")
            print(status_result)
            exit(1)

        if progress == "100%" or progress == 100 or status in ["completed", "success"]:
            print("Video generation completed!")
            break
    except Exception as e:
        print(f"Temporary error: {e}, retrying...")

    time.sleep(10)

# Step 3: Download the video to output directory
print(f"
Downloading video to ./output/{video_id}.mp4...")
os.makedirs("./output", exist_ok=True)

video_response = requests.get(f"{base_url}/videos/{video_id}/content", headers=headers)

output_path = f"./output/{video_id}.mp4"
with open(output_path, "wb") as f:
    f.write(video_response.content)

if os.path.exists(output_path):
    file_size = os.path.getsize(output_path)
    print(f"Video saved to {output_path}")
    print(f"File size: {file_size} bytes")
else:
    print("Failed to download video")
    exit(1)

Python Code Example

# Create a video with viduq3 using raw HTTP requests
import os
import time
import requests

api_key = os.environ.get("COMETAPI_KEY")
base_url = "https://api.cometapi.com/v1"
headers = {"Authorization": f"Bearer {api_key}"}

# Step 1: Submit the video generation request
print("Submitting video generation request...")
response = requests.post(
    f"{base_url}/videos",
    headers=headers,
    files={
        "model": (None, "viduq3"),
        "prompt": (None, "Ultra-realistic cinematic shot of an astronaut walking slowly through soft fog, volumetric light in light blue and pale amber tones, shallow depth of field, 35mm film texture, graceful camera movement."),
        "seconds": (None, "1"),
        "size": (None, "960x528"),
    },
)

result = response.json()
print(f"Response: {result}")

video_id = result.get("id") or result.get("task_id")
print(f"Video ID: {video_id}")

# Step 2: Poll for progress until 100%
print("\nChecking video generation progress...")
while True:
    try:
        status_response = requests.get(f"{base_url}/videos/{video_id}", headers=headers)
        status_result = status_response.json()

        data = status_result.get("data") or status_result
        progress = data.get("progress", "0%")
        status = data.get("status", "unknown")

        print(f"Progress: {progress}, Status: {status}")

        if status in ["FAILURE", "failed", "error"]:
            print("Video generation failed!")
            print(status_result)
            exit(1)

        if progress == "100%" or progress == 100 or status in ["completed", "success"]:
            print("Video generation completed!")
            break
    except Exception as e:
        print(f"Temporary error: {e}, retrying...")

    time.sleep(10)

# Step 3: Download the video to output directory
print(f"\nDownloading video to ./output/{video_id}.mp4...")
os.makedirs("./output", exist_ok=True)

video_response = requests.get(f"{base_url}/videos/{video_id}/content", headers=headers)

output_path = f"./output/{video_id}.mp4"
with open(output_path, "wb") as f:
    f.write(video_response.content)

if os.path.exists(output_path):
    file_size = os.path.getsize(output_path)
    print(f"Video saved to {output_path}")
    print(f"File size: {file_size} bytes")
else:
    print("Failed to download video")
    exit(1)

JavaScript Code Example

// Create a video with viduq3 using raw HTTP requests
import fs from "fs";
import path from "path";

const apiKey = process.env.COMETAPI_KEY;
const baseUrl = "https://api.cometapi.com/v1";
const headers = { Authorization: `Bearer ${apiKey}` };

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

// Step 1: Submit the video generation request
console.log("Submitting video generation request...");
const formData = new FormData();
formData.append("model", "viduq3");
formData.append("prompt", "Ultra-realistic cinematic shot of an astronaut walking slowly through soft fog, volumetric light in light blue and pale amber tones, shallow depth of field, 35mm film texture, graceful camera movement.");
formData.append("seconds", "1");
formData.append("size", "960x528");

const submitResponse = await fetch(`${baseUrl}/videos`, {
  method: "POST",
  headers,
  body: formData,
});

const result = await submitResponse.json();
console.log("Response:", JSON.stringify(result, null, 2));

const videoId = result.id || result.task_id;
console.log("Video ID:", videoId);

// Step 2: Poll for progress until 100%
console.log("\nChecking video generation progress...");
while (true) {
  try {
    const statusResponse = await fetch(`${baseUrl}/videos/${videoId}`, { headers });
    const statusResult = await statusResponse.json();
    const data = statusResult.data || statusResult;
    const progress = data.progress || "0%";
    const status = data.status || "unknown";

    console.log(`Progress: ${progress}, Status: ${status}`);

    if (status === "FAILURE" || status === "failed" || status === "error") {
      console.log("Video generation failed!");
      console.log(JSON.stringify(statusResult, null, 2));
      process.exit(1);
    }

    if (progress === "100%" || progress === 100 || status === "completed" || status === "success") {
      console.log("Video generation completed!");
      break;
    }
  } catch (e) {
    console.log(`Temporary error: ${e.message}, retrying...`);
  }

  await sleep(10000);
}

// Step 3: Download the video to output directory
console.log(`\nDownloading video to ./output/${videoId}.mp4...`);
fs.mkdirSync("./output", { recursive: true });

const videoResponse = await fetch(`${baseUrl}/videos/${videoId}/content`, { headers });
const outputPath = path.join("./output", `${videoId}.mp4`);
fs.writeFileSync(outputPath, Buffer.from(await videoResponse.arrayBuffer()));

if (fs.existsSync(outputPath)) {
  const stats = fs.statSync(outputPath);
  console.log(`Video saved to ${outputPath}`);
  console.log(`File size: ${stats.size} bytes`);
} else {
  console.log("Failed to download video");
  process.exit(1);
}

Curl Code Example

# Create a video with viduq3
# Step 1: Submit the video generation request
echo "Submitting video generation request..."
response=$(curl -s https://api.cometapi.com/v1/videos \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -F "model=viduq3" \
  -F "prompt=Ultra-realistic cinematic shot of an astronaut walking slowly through soft fog, volumetric light in light blue and pale amber tones, shallow depth of field, 35mm film texture, graceful camera movement." \
  -F "seconds=1" \
  -F "size=960x528")

echo "Response: $response"

# Extract video_id from response (handle JSON with spaces like "id": "xxx")
video_id=$(echo "$response" | tr -d '\n' | sed 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/')
echo "Video ID: $video_id"

# Step 2: Poll for progress until 100%
echo ""
echo "Checking video generation progress..."
while true; do
  status_response=$(curl -s "https://api.cometapi.com/v1/videos/$video_id" \
    -H "Authorization: Bearer $COMETAPI_KEY")
  
  progress=$(echo "$status_response" | grep -o '"progress"[[:space:]]*:[[:space:]]*"\?[^",}]*"\?' | head -1 | sed 's/.*:[[:space:]]*"\?//;s/"$//')
  status=$(echo "$status_response" | grep -o '"status"[[:space:]]*:[[:space:]]*"[^"]*"' | head -1 | sed 's/.*"status"[[:space:]]*:[[:space:]]*"//;s/"$//')
  
  echo "Progress: $progress, Status: $status"
  
  if [ "$status" = "FAILURE" ] || [ "$status" = "failed" ] || [ "$status" = "error" ]; then
    echo "Video generation failed!"
    exit 1
  fi
  
  if [ "$progress" = "100%" ] || [ "$progress" = "100" ] || [ "$status" = "completed" ] || [ "$status" = "success" ]; then
    echo "Video generation completed!"
    break
  fi
  
  sleep 10
done

# Step 3: Download the video to output directory
echo ""
echo "Downloading video to ./output/$video_id.mp4..."
mkdir -p ./output
curl -s "https://api.cometapi.com/v1/videos/$video_id/content" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -o "./output/$video_id.mp4"

if [ -f "./output/$video_id.mp4" ]; then
  echo "Video saved to ./output/$video_id.mp4"
  ls -la "./output/$video_id.mp4"
else
  echo "Failed to download video"
  exit 1
fi

Versions of Vidu Q3

The reason Vidu Q3 has multiple snapshots may include potential factors such as variations in output after updates requiring older snapshots for consistency, providing developers a transition period for adaptation and migration, and different snapshots corresponding to global or regional endpoints to optimize user experience. For detailed differences between versions, please refer to the official documentation.

version
viduq3
viduq3-turbo

Vidu Q3