Veo 3 API
Model Page:Midjourney Video API
The Veo 3 API is a RESTful endpoint on Google Vertex AI that enables developers to generate synchronized, high‑resolution video and audio clips from text or image prompts—complete with built‑in safety filters and imperceptible watermarking—in a single request.
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.
Core Features and Capabilities
- 8‑Second Video Clips: Generates up to eight‑second sequences with seamless shot transitions and stitching.
- Integrated Audio Generation: Produces dialogue, ambient noise, sound effects, and background music in a single pass.
- High‑Definition Output: Supports resolutions up to 4K (3840 × 2160) with consistent lighting, realistic physics, and detailed scene textures.
- Multi‑Modal Inputs: Accepts both text‑to‑video and image‑to‑video prompts, enabling versatile creative workflows.
These capabilities empower creators to craft near‑cinematic narratives without separate audio post‑production or complex editing pipelines .
Benchmark Performance
In internal benchmarks, Veo 3 demonstrates:
- PSNR (Peak Signal‑to‑Noise Ratio) of 38 dB on standard video datasets, outperforming Veo 2 by 4 dB.
- SSIM (Structural Similarity Index) scores of 0.92, indicating high visual fidelity.
- Audio–Video Sync Error below 15 ms, ensuring imperceptible lag between sound and motion.
- Inference Speed: ~12 frames per second on an NVIDIA A100 GPU, enabling near real-time generation for short clips. These metrics position Veo 3 at the forefront of generative video AI, eclipsing contemporaries like Sora and Meta’s recent video models in both quality and synchronization.
Model Versions and Evolution
- Veo 1 (May 2024): Launched at Google I/O 2024, introduced 1080p silent video generation over one minute.
- Veo 2 (December 2024): Upgraded to 4K support and improved physical dynamics understanding .
- Veo 3 (May 2025): Added audio synthesis, enhanced realism, and 4K output, marking a significant leap in multimodal generation.
How to call Veo 3 API from CometAPI
\**Veo 3\** API Pricing in CometAPI，20% off the official price:
| Model name | Price |
|---|---|
| veo3-pro | $1 |
| veo3-fast | $5 |
| veo3 | $1 |
| veo3-pro-frames | $5 |
veo3,veo3-pro,veo3-fast,veo3-pro-frames:It is the latest video generation model officially launched by Google. The generated videos have sound. It is the only video model with sound in the world.veo3-pro-framessupports the first frame mode. This model follows the openai chat standard format call
Required Steps
- Log in to cometapi.com. If you are not our user yet, please register first
- 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.
- Get the url of this site: https://api.cometapi.com/
Code Example
- Select the “**
veo3-pro**”etc 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. - Modify the BASE_URL in your application to our interface address.The URL is determined by your specific application needs.
- Replace with your actual CometAPI key from your account.
If you have any questions about the call or have any suggestions for us, please contact us through social media and email address support@cometapi.com.
Use Cases：
Video Generation Ednpoint (Doc: available here): https://api.deerapi.com/v1/chat/completions
API Code CometAPI Usage Example
import requests
def main():
url = "https://api.deerapi.com/v1/chat/completions"
payload = {
"model": "veo3-pro",
"prompt": "A DJ on the stand is playing, around a World War II battlefield, lots of explosions, thousands of dancing soldiers, between tanks shooting, barbed wire fences, lots of smoke and fire, black and white old video: hyper realistic, photorealistic, photography, super detailed, very sharp, on a very white background",
"aspect_ratio": "16:9",
"duration": "8",
}
headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print("Generation:", response.json())
if name == "main":
main()