Fixed model workspace
Veo 3.1 is locked on this page, so generation settings stay tied to the current model.
AI Video Generator
Veo 3.1 AI Video Generator
Veo 3.1 by Google is available on Videmos as a text to video model. Its supported inputs and output controls are shown directly in the generator.
Direct answer
Veo 3.1 is a video model from Google available through Videmos. This page shows the configured inputs, output controls, credit cost of 22 per use, examples or workflow notes when available, and links to the provider information used to describe the model. Check the generator before submitting because availability follows the current Videmos configuration.
Last updated: July 12, 2026
Text to Video
text prompt / up to 2 reference images / start and end frames22 creditsGoogle
Create with Veo 3.1 using the inputs and output settings shown above.
Veo 3.1
What is Veo 3.1?
Veo 3.1 by Google is available on Videmos as a text to video model. Its supported inputs and output controls are shown directly in the generator.
Use the generator above to review the available inputs, output controls, and credit cost for this model.
ProviderGoogle
Inputtext prompt / up to 2 reference images / start and end frames
Credits22 credits/use
Aspect ratio16:9 / 9:16
Veo 3.1 key features
Current input support
text prompt / up to 2 reference images / start and end frames
Visible controls
Aspect ratio / Duration / Quality setting / Seed / Negative prompt
Credit cost
Each submitted task uses 22 credits.
Negative prompt
Use the negative prompt field to describe content that should be excluded from the result.
Seed testing
Seed is shown only when the current generator exposes it for this model.
Veo 3.1 use cases
Prompt-first clips
Use text-to-video when the current model exposes that input mode.
Reference animation
Use image, video, or start/end frame inputs only when listed for this model.
Format testing
Use the available aspect ratio, duration, and output settings shown on the page.
Veo 3.1 examples
Prompt setup
Describe the subject, action, camera motion, scene, and duration direction for Veo 3.1.
text prompt / up to 2 reference images / start and end frames
Parameter setup
Aspect ratio / Duration / Quality setting / Seed / Negative prompt
Uses current Videmos configuration
Veo 3.1 technical capabilities
Provider
Google
Input
text prompt / up to 2 reference images / start and end frames
Credits
22 credits/use
Aspect ratio
16:9 / 9:16
Duration
4s / 6s / 8s
Quality setting
720p / 1080p / 4k
Seed
Optional numeric value
Negative prompt
Supported
Veo 3.1 model comparison
Input
text prompt / up to 2 reference images / start and end frames
Kling API: text prompt · Kling O1: text prompt / up to 2 reference images · Kling 3.0: text prompt
Controls
Aspect ratio / Duration / Quality setting / Seed / Negative prompt
Kling API: Aspect ratio / Duration / Quality setting / Negative prompt · Kling O1: Aspect ratio / Duration / Quality setting · Kling 3.0: Aspect ratio / Duration / Quality setting / Negative prompt
Credits
22
Kling API (12) / Kling O1 (10) / Kling 3.0 (15)
Videmos suggestion
Choose Veo 3.1 when its listed inputs and controls match the task.
Use peer models when they expose a different input path, output control, or credit cost.
How to use Veo 3.1
Choose input mode
text prompt / up to 2 reference images / start and end frames
Write the prompt
Describe only the subject, scene, motion, style direction, and constraints you actually need.
Set supported controls
Aspect ratio / Duration / Quality setting / Seed / Negative prompt
Generate and review
Submitted tasks appear in Assets when the generation pipeline accepts the request.
Veo 3.1 FAQ
What is Veo 3.1?
Veo 3.1 by Google is available on Videmos as a text to video model. Its supported inputs and output controls are shown directly in the generator.
Which inputs does Veo 3.1 support on Videmos?
text prompt / up to 2 reference images / start and end frames
Which controls are shown?
Aspect ratio / Duration / Quality setting / Seed / Negative prompt
How many credits does it use?
Veo 3.1 uses 22 credits per submitted task in the current catalog.
Is this an objective model ranking?
No. The comparison sections are Videmos configuration guidance based on visible inputs, controls, and credit cost.