Models / Vidu
Video

Vidu Q3

Long-form video with native audio generated in a single pass

About model

On Together AI, Vidu Q3 costs $0.0975 per video.

Vidu Q3 is ShengShu Technology's flagship video generation model, producing up to 16 seconds of 1080p video at 24 fps with native audio, including dialogue, sound effects, and music, generated in the same pass as the visuals. It supports text-to-video, image-to-video, start and end frame control, and reference-to-video from up to four reference images, with intelligent camera switching that keeps subjects consistent across camera positions. Available on Together AI.

‍

Max Clip Length

16s

Long-form clips in a single generation

Output Resolution

1080p

At 24 frames per second

Audio-Video Generation

Native

Dialogue, effects, and music produced with the visuals

Model key capabilities
  • Native Audio-Video: Dialogue, sound effects, and music generated in the same pass as the visuals
  • Long-Form Generation: Up to 16 seconds of 1080p video in a single generation
  • Frame & Reference Control: Start and end frame control, plus reference-to-video from up to four images
  • Available on Together AI: Serverless access through the Together AI API
  • API usage

    • cURL
    • Python
    • Typescript

    Endpoint:

    vidu/vidu-q3

    curl --request POST \
      --url https://api.together.ai/v2/videos \
      --header "Authorization: Bearer $TOGETHER_API_KEY" \
      --header "Content-Type: application/json" \
      --data '{
        "model": "vidu/vidu-q3",
        "prompt": "some penguins building a snowman"
      }'
    
    from together import Together
    
    client = Together()
    
    # Create a video generation job
    job = client.videos.create(
        prompt="A serene sunset over the ocean with gentle waves",
        model="vidu/vidu-q3"
    )
    
    import Together from "together-ai";
    
    const together = new Together();
    
    async function main() {
      // Create a video generation job
      const job = await together.videos.create({
        prompt: "A serene sunset over the ocean with gentle waves",
        model: "vidu/vidu-q3"
      });
    
  • Model card

    Architecture Overview:
    • ShengShu Technology video generation model in the Vidu Q3 family
    • Text-to-video, image-to-video, start and end frame, and reference-to-video from up to four reference images
    • Up to 16 seconds of 1080p video at 24 fps with native audio generated in the same pass

    Training Methodology:
    • Developed by ShengShu Technology, founded by researchers from Tsinghua University, as the successor to the Vidu Q1 and Q2 generations

    Performance Characteristics:
    • Native audio covers dialogue, sound effects, and music synchronized with the visuals
    • Reference-to-video keeps subjects consistent across camera positions

    ‍

  • Prompting

    Together AI API Access:
    • Access Vidu Q3 via Together AI APIs using the endpoint vidu/vidu-q3
    • Authenticate using your Together AI API key in request headers
    • Create a video request from a text prompt, an input image, start and end frames, or up to four reference images, then poll until the video completes
    • Available on Together AI with serverless access

    ‍

  • Applications & use cases

    Short-Form Storytelling:
    • Generate up to 16-second scenes with dialogue and music in one pass
    • Keep characters consistent from reference images
    • Bridge start and end frames into continuous shots

    Advertising & Product Video:
    • Turn product references into consistent ad clips
    • Produce variants with synchronized sound design
    • Animate product photos into short videos

    Social & Creator Content:
    • Create social clips with native audio from text prompts
    • Animate images into narrative short videos
    • Iterate on creative concepts quickly

    ‍

  • Model provider
    Vidu
  • Type
    Video
  • Main use cases
    Text-to-Video
    Image-to-Video
  • Resolution/Duration
    1080p / up to 16s
  • Deployment
  • Endpoint
  • Price

    $0.0975 / video

  • Input modalities
    Text
    Image
  • Output modalities
    Video
  • Released
    January 29, 2026
  • Category
    Video