Google Veo 3 Fast creates text-to-video with synchronized audio, delivering faster, more cost-effective results than standard Veo 3; commercial use allowed and pricing starts at $0.25/second. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$1.2per run
ExamplesView all
A charismatic woman in a dynamic ad set, wearing stylish clothes. She shouts with dramatic excitement:“Google Veo 3 Fast is now on WaveSpeed AI! It'll blow your mind — go try it now!”
A helicopter chase through narrow mountain valleys at sunset, dynamic aerial camera, fast cuts, cinematic lighting, 1080p
An energetic street performer in Times Square grabs the mic and yells toward the crowd with wide eyes:“Yo! Google Veo 3 Fast just dropped on WaveSpeed AI! It’s REAL as hell! Sound and texture are NEXT LEVEL! Try it right now!!”Crowd ambience, city lights, wild gestures, fast jump cuts.
A charismatic woman in a dynamic ad set, wearing stylish clothes, pointing at floating AI text in the air. She shouts with dramatic excitement:“Google Veo 3 Fast is now on WaveSpeed AI! Sound and texture so real, it'll blow your mind — go try it now!”Flashing text overlays, confetti or sparks, camera swoosh effects.
A super excited young tech influencer in a neon-lit studio, bouncing with energy. He throws his hands up and says loudly with passion:“Google Veo 3 Fast is now live on WaveSpeed AI! The sound and texture are crazy real — go try it now!”Energetic body language, camera zooms in slightly when he shouts “go try it now!”, upbeat background music.
Montage of energetic people reacting with shock and joy (jumping, dancing, eyes wide). One of them shouts into the mic: “Google Veo 3 Fast just launched on WaveSpeed AI! It’s too real — sound and texture are next level!!”Fast cuts, upbeat electronic music, bold subtitles matching the voice.
A young woman standing at a balcony at sunrise, overlooking a quiet city. Wind gently rustles her hair. She speaks softly into a mic: 'Another day begins... I wonder what today will bring.
A young woman standing at a balcony at sunrise, overlooking a quiet city. Wind gently rustles her hair. She speaks softly into a mic: 'Another day begins...
Close-up of gloved hands slicing a cold watermelon on a wooden cutting board. The sound of the knife cutting through the rind is crisp. A soft female voice says: 'Let’s cut it right in the middle… listen to that crunch… perfect.
A young wizard reading an ancient spellbook in a candlelit room, pages turning, fire crackling. She chants softly: 'By moon and flame, awaken the light within...
Related Models
README
Google Veo 3 Fast AI Video Generator
Veo 3 Fast is a high-speed, cost-efficient version of Google’s Veo 3 model, built for creators who need cinematic results with synchronized audio in record time. It produces realistic 8-second clips featuring dialogue, sound effects, and background music—all natively generated.
Why it looks great
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Lightning-Fast Generation ⚡ Produces 8-second cinematic videos up to 30% faster than standard Veo 3.
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Budget-Friendly Efficiency 💰 Up to 80% cost savings, allowing 5× more videos per budget unit.
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Cinematic Realism 🎬 Generates coherent motion, expressive characters, and balanced lighting for film-like quality.
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Native Audio Sync 🔊 Automatically includes ambient sounds, speech, and music perfectly matched to on-screen action.
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Character & Camera Consistency 🎥 Supports reference-based continuity and stable camera direction for precise visual storytelling.
Limits and Performance
- Max duration per job: 8 seconds
- Typical generation speed: ~30 seconds per video
- Resolution: up to 1080p
- Audio: synchronized voice, SFX, ambience, and background score
- Size: 16:9 or 9:16
Pricing
Every run needs $1.2 (both 720p and 1080p)
Without audio needs $0.8
✅ Commercial use allowed
How to Use
- Write a text prompt describing your scene, characters, or story.
- Choose duration (up to 8 seconds).
- Run generation and preview your result.
- Download the MP4 file with synchronized audio.
Pro Tips for Best Results
- Keep prompts concise but cinematic: specify lighting, motion, and emotion.
- Use reference images for consistent characters across clips.
- Combine camera directions (“slow zoom-in,” “tracking shot,” etc.) for dynamic composition.
- Avoid overly complex multi-scene prompts—stick to one action or setting per clip.
- If dialogue is critical, use quotation marks in the prompt for clearer speech output.
Notes
- Actual generation time may vary depending on queue and resolution.
- Currently optimized for short-form content such as trailers, vlogs, and viral videos.
Veo3 Fast API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/veo3-fast with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Veo3 Fast below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/veo3-fast" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "720p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("google/veo3-fast", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "720p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/veo3-fast",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "720p",
"generate_audio": true,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputVeo3 Fast API — Frequently asked questions
What is the Veo3 Fast API?
Veo3 Fast is a Google model for video generation, exposed as a REST API on WaveSpeedAI. Google Veo 3 Fast creates text-to-video with synchronized audio, delivering faster, more cost-effective results than standard Veo 3; commercial use allowed and pricing starts at $0.25/second. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Veo3 Fast API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-veo3-fast.
How much does Veo3 Fast cost per run?
Veo3 Fast starts at $1.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Veo3 Fast accept?
Key inputs: `prompt`, `aspect_ratio`, `resolution`, `duration`, `seed`, `negative_prompt`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-veo3-fast.
How long does Veo3 Fast take to generate?
Average end-to-end generation time on WaveSpeedAI is around 93 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Veo3 Fast outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.