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Veo 3.1 Available Now

Veo 3.1: The AI Video Model That Hears What It Sees.

Veo 3.1is Google DeepMind's flagship video generation model. It doesn't add audio as a separate layer — it infers sound from what the scene contains. Describe a rainstorm and you get rain. Write dialogue and the model lip-syncs it. Pair that with Start & End Frame shot control and multi-segment video extension, and you have a tool built around how real production workflows actually operate.

Veo 3.1 sample output

What Makes Veo 3.1 Different?

Veo 3.1addresses three things that made earlier AI video models feel like demos rather than tools: no audio, no shot-level control, and a hard ceiling at a few seconds of output. All three are solved here — native audio, Start & End Frame, and video extension — without sacrificing the model quality you were already getting.

The audio model is worth understanding on its own terms. There is no separate audio prompt. Veo 3.1 reads the visual scene you described and decides what it should sound like — which means a detailed visual prompt naturally produces richer, more accurate audio. Sound and image are generated together from the start, not aligned in post. Every output is marked with Google's SynthID watermark for AI content transparency.

VEO 3.1 CAPABILITIES

Four Capabilities That Change the Workflow

Each one addresses a specific gap that made previous AI video models difficult to use in real production.

Scene-Inferred Audio

Audio is always generated — there's no toggle. Dialogue, sound effects, and ambient noise are inferred from the visual scene you describe. Write a richer prompt and you get richer sound, with no separate audio configuration required.

Start & End Frame

Supply the opening and closing image of a shot. The model generates camera movement, subject motion, and audio between them. Useful whenever you know where a shot needs to land — product reveals, scene transitions, controlled camera moves.

Video Extension

Extend any clip by 7 seconds at a time, up to 20 times — building sequences up to 140 seconds. Each extension reads the existing footage to produce a seamless visual and tonal continuation. This turns Veo 3.1 from a clip generator into a scene-building tool.

Reference Images

Supply up to 3 reference images to anchor character identity, object appearance, or visual style. Instead of describing what something looks like, you show it — giving the model a visual anchor that holds across the entire generation.

Veo 3.1 Technical Specifications

The exact parameters available when you run Veo 3.1 inside the VidTool AI workspace.

Resolutions
720p / 1080p / 4k — 1080p and 4K available for 8-second clips only
Aspect ratios
16:9, 9:16 (portrait-native)
Frame rate
24 fps
Duration per generation
4, 6, 8 seconds (1080p / 4K: 8 seconds only)
Video extension
+7 seconds per extension · up to 20 extensions · 140 seconds max · 720p only
Reference images
Up to 3 images per generation (character, object, or style)
Start & End Frame
Specify first and last frame; model fills the motion
Native audio
Always on — dialogue, sound effects & ambient noise, inferred from scene
Prompt limit
1,024 tokens
Watermarking
SynthID (invisible, survives compression & re-encoding)
Benchmark
#1 on MovieGenBench (1,003 prompts) — overall preference, text alignment, visual quality · #1 on VBench I2V (355 examples)

How to Generate Video with Veo 3.1

From prompt to a finished clip with synchronized audio in four steps.

1

Pick your starting point

Start from a text prompt, upload a reference image for image-to-video, or supply both a first and last frame to let Veo 3.1 fill the motion between them.

2

Write a scene-specific prompt

Describe the visual scene in detail — camera movement, lighting, subject action, environment. Because audio is inferred from your visual description, the more specific your prompt, the more accurate the sound.

3

Add reference images if needed

Supply up to 3 reference images to lock in a character's appearance, a product's look, or a lighting style. The model uses these as visual anchors across the generation.

4

Generate, extend & download

Preview your clip with synchronized audio. Use video extension to chain up to 20 additional 7-second segments when you need more than 8 seconds, then download the finished sequence.

FAQ

Frequently Asked Questions about Veo 3.1

Technical questions about Google DeepMind's Veo 3.1, answered plainly.

What is Google Veo 3.1 and how is it different from Veo 3?

Veo 3.1 is Google DeepMind's refined flagship video model. It builds on Veo 3 by adding three capabilities that matter most in practice: native audio generation in the same pass as video, Start & End Frame shot control, and video extension for building sequences beyond a single clip. Portrait 9:16 generation and support for reference images round out the upgrade.

How does Veo 3.1's audio generation work?

Veo 3.1 natively generates dialogue, sound effects, and ambient noise alongside the video — audio is always on, not optional. There is no separate audio prompt: the model infers what the scene should sound like from your visual description. That means writing a more specific, scene-detailed prompt naturally produces more accurate sound.

What is Start & End Frame and when should I use it?

You supply both the opening and closing image of a shot; Veo 3.1 generates the motion and audio between them. It's most useful when you already know your shot list — product reveals, transitions, or any sequence where the final frame matters as much as the first. The model handles camera movement and subject motion to connect the two frames naturally.

How does video extension work and how long can a sequence get?

After generating a clip, you can extend it. Each extension adds 7 seconds and Veo 3.1 analyzes the existing footage to produce a seamless continuation. You can chain up to 20 extensions, building sequences up to 140 seconds in total. Note that video extension only supports 720p resolution.

What can I do with reference images?

You can supply up to 3 reference images per generation to anchor character identity, object appearance, or visual style. This is called Ingredients to Video — instead of describing what something looks like, you show the model directly. It's particularly effective for maintaining subject consistency across multiple shots.

What resolutions and durations does Veo 3.1 support?

Veo 3.1 generates at 720p, 1080p, or 4K — but 1080p and 4K are only available for 8-second clips. 4-second and 6-second clips are limited to 720p. Video extension is also 720p only. Aspect ratios are 16:9 (landscape) and 9:16 (portrait), both rendered at 24fps.

Does Veo 3.1 support portrait (vertical) video?

Yes. Veo 3.1 generates native 9:16 vertical video — not a cropped version of a landscape output, but content composed for vertical-first viewing. This matters for TikTok, Instagram Reels, and YouTube Shorts, where vertical framing behaves differently from widescreen.

How does Veo 3.1 perform on benchmarks?

Google evaluated Veo 3.1 against competitors using human raters. It ranked first on MovieGenBench (1,003 prompts) for overall preference, text alignment, and visual quality. It also ranked first on VBench I2V (355 image-text pairs). On a separate audio evaluation of 527 MovieGenBench prompts, Veo 3.1 placed first for audio-video synchronization and overall preference with audio.

Are Veo 3.1 outputs watermarked?

Yes. Every video generated with Veo 3.1 is embedded with Google's SynthID — an invisible, machine-readable watermark that identifies the content as AI-generated. It doesn't affect the visual output and survives common post-processing like compression and re-encoding.

Learn more from the official Google DeepMind Veo page →

Last updated: June 6, 2026

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