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02
Examples
Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
Input
Prompt
the woman is giving an interview for a podcast, wearing a pink top with the logo, it also neatly says "Veo 3.1", she is in a midcentury modern studio with pink lighting, she talks about using Veo 3.1 with reference images to put things into videos you're making, the logo is also in a framed picture against black behind her
Lengte: 0:08
Settings
aspect_ratio
16:9
resolution
1080p
duration
8
Input
Prompt
show what happens in this location
Lengte: 0:08
Settings
aspect_ratio
16:9
resolution
1080p
duration
8
Input
Prompt
the woman are having a conversation in a coffee shop, with the logo in the background. They talk about using Veo 3.1 with reference images to put things into videos
Lengte: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Voorbeeldprompts
Voorbeelden uit de Railwail-catalogus. Ze zijn niet live op deze pagina gegenereerd.
Aerial
Lengte: 0:08
Sweeping aerial view of coastal city at golden hour
03
Over Google Veo 3.1
SamengevatPer 23 september 2026
Google Veo 3.1 is een model van Google DeepMind in de categorie Videogenerering. Op Railwail kost Google Veo 3.1 US$Â 0,48 per videoseconde. Afhankelijk van de instellingen varieert de prijs van US$Â 0,24/s tot US$Â 0,48/s. Een standaardrun van 4 seconden kost US$Â 1,92. Ondersteunde beeldverhoudingen: 16:9 en 9:16. Mogelijke lengtes: 4, 6 of 8 s.
Achtergrond
Over Google DeepMind
Opgericht 2010 · London, United Kingdom
Google DeepMind, formed in 2023 from the merger of Google Brain and DeepMind under Demis Hassabis, runs the Veo video-generation programme. After the headline launch of Veo 3 (May 2025, Google I/O) with native audio, the team shipped Veo 3.1 in late 2025 as an incremental quality and capability upgrade. Veo 3.1 improves prompt adherence, motion physics, character consistency across extended sequences and audio fidelity (including richer ambient soundscapes and more controllable dialogue). The model is exposed via Vertex AI, the Gemini API, Google Labs (VideoFX, Whisk) and the Flow filmmaking surface aimed at professional creators.
Latent video diffusion / DiT with joint audio-video diffusion and reference-frame conditioning
Veo 3.1 retains the joint audio-video diffusion architecture introduced in Veo 3: video is encoded into a spatio-temporal latent space via a 3D causal VAE and denoised by a transformer-based diffusion model, while a coupled audio diffusion module generates synchronized music, ambient sound and dialogue. Improvements in 3.1 are reported across motion physics (water, fabric, crowds), audio quality and the ability to stay consistent across extended sequences via reference-frame and subject-reference conditioning. Native clips run up to 8 seconds at 1080p with extensions for longer sequences and a separate cascaded super-resolution stage for 4K. Text conditioning uses Gemini-family encoders; image and reference-frame conditioning add identity and layout control. Training expands on the Veo 3 corpus with additional curated multilingual audio-video data and refined recaptioning.
Parameters
Undisclosed
Mogelijkheden
All Veo 3 features plus improved physics, audio fidelity and consistency
Up to 8-second 1080p clips natively, 4K via cascaded super-resolution
Reference-frame and subject-reference conditioning
Joint audio-video diffusion with music, ambient sound and dialogue lip-sync
Rich cinematographic prompt vocabulary
Multilingual prompts via Gemini text encoders
Available via Vertex AI, Gemini API, VideoFX, Whisk and Flow
SynthID audio + visual watermarking
Best for: high-end commercial creative, longer sequences, branded campaigns with sound.
Training & licentie
Expanded curated multilingual audio-video corpus including licensed footage, public web video (including YouTube under Google's terms) and synthetic data, with multi-granularity captions from Gemini vision-language models.
Licentie: Proprietary commercial licence via Google Cloud / Vertex AI and Gemini API; commercial use under Google's generative-AI terms; mandatory SynthID watermarking.
Veiligheidstests: Google Responsible AI framework with safety filters, public-figure filters, child-safety classifiers and provenance via SynthID; ongoing red-team programme.
Bekende beperkingen
8-second native clip limit
Audio short-form and English-leaning
Strict moderation on people, brands and political content
Closed model with no peer-reviewed paper
Per-clip cost higher than Veo 3 Fast or Veo 3.1 Fast tiers
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "veo-3-1",
"prompt": "A slow drone shot over a misty pine forest at sunrise"
}'
# Response: {"job_id": "...", "status": "queued", ...}
# Poll until status is completed, failed or cancelled:
curl https://railwail.com/api/v1/jobs/JOB_ID \
-H "Authorization: Bearer $RAILWAIL_API_KEY"
import os
import time
import requests
API = "https://railwail.com/api/v1"
headers = {"Authorization": f"Bearer {os.environ['RAILWAIL_API_KEY']}"}
job = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "veo-3-1",
"prompt": "A slow drone shot over a misty pine forest at sunrise",
},
).json()
while True:
status = requests.get(f"{API}/jobs/{job['job_id']}", headers=headers).json()
if status["status"] in ("completed", "failed", "cancelled"):
break
time.sleep(5)
print(status["status"], status.get("output_url"))
const API = "https://railwail.com/api/v1";
const headers = {
Authorization: `Bearer ${process.env.RAILWAIL_API_KEY}`,
"Content-Type": "application/json",
};
const job = await fetch(`${API}/videos/generations`, {
method: "POST",
headers,
body: JSON.stringify({
model: "veo-3-1",
prompt: "A slow drone shot over a misty pine forest at sunrise"
}),
}).then((r) => r.json());
let status;
do {
await new Promise((r) => setTimeout(r, 5000));
status = await fetch(`${API}/jobs/${job.job_id}`, { headers }).then((r) => r.json());
} while (!["completed", "failed", "cancelled"].includes(status.status));
console.log(status.status, status.output_url);
Proprietary commercial licence via Google Cloud / Vertex AI and Gemini API; commercial use under Google's generative-AI terms; mandatory SynthID watermarking.
Catalogusitem bijgewerkt
23 september 2026
Invoerparameters
Invoeren en instellingen uit het invoerschema van het model. Het voorbeeld in de API-sectie toont welke daarvan de API accepteert.
Google Veo 3.1 is een model van Google DeepMind in de categorie Videogenerering. Op Railwail kunt u het aanroepen met een API-sleutel via de Railwail-API.
Hoeveel kost Google Veo 3.1 op Railwail?
Op Railwail kost Google Veo 3.1 US$Â 0,48 per videoseconde. Afhankelijk van de instellingen varieert de prijs van US$Â 0,24/s tot US$Â 0,48/s. Een standaardrun van 4 seconden kost US$Â 1,92. De prijs staat vast voordat de run begint. Gebruik wordt betaald met vooraf gekochte credits; 1 credit is gelijk aan US$Â 0,01.
Welke instellingen ondersteunt Google Veo 3.1?
Volgens het invoerschema kent Google Veo 3.1 deze parameters: prompt, duration (4, 6 of 8), start_image en aspect_ratio (16:9 of 9:16).
Hoe snel is Google Veo 3.1?
Er zijn nog niet genoeg gemeten runs van Google Veo 3.1 op Railwail om een uitvoeringstijd op te geven. Dit hangt af van de invoer, de instellingen en de belasting bij de provider.
Is Google Veo 3.1 beter dan HunyuanVideo?
Dat hangt van de taak af. Google Veo 3.1 (Google DeepMind) en HunyuanVideo (Tencent) zijn beide modellen in de categorie Videogenerering. De vergelijkingspagina toont hun prijzen en specificaties naast elkaar.
Kan Google Veo 3.1 een afbeelding als sjabloon gebruiken?
Ja. Stuur de afbeelding in de parameter start_image.
Hoe gebruik ik Google Veo 3.1 via de API?
Maak een Railwail-API-sleutel aan en stuur uw aanvraag met de model-ID veo-3-1. Codevoorbeelden voor curl, Python en JavaScript staan in het API-gedeelte van deze pagina.
Kuaishou's Kling v2.1, generating 5 and 10 second videos at 720p or 1080p from text or an image. Known for cinematic camera work and realistic physical motion, available on Replicate via the official KwaiVGI account.
