Veo 3.1, the leaderboard-topping video model,is the default in any Kollab task.

Google’s Veo 3.1 is the first model to cross 1400 on Video Arena. Kollab calls it directly through Vertex AI, chains past the 8-second cap, turns any workspace artifact into the opening frame, and ships native ambient, dialogue, and SFX in the same render pass — no GCP project, no credit packs.

The first model to cross 1400 on Video Arena.

Veo 3.1 launched October 15, 2025 and immediately took #1 on both Text-to-Video and Image-to-Video Arena leaderboards — the first time any video model has crossed the 1400 threshold. Kollab wires the same veo-3.1-generate-001 model in as the default.

#1
Video Arena
Both text-to-video and image-to-video boards, since Oct 2025.
1400+
Arena score
30-point jump from Veo 3.0 — the largest single-release jump in Video Arena history.
~30s
Per chain in Kollab
Vertex caps each clip at 8 seconds; Kollab’s veo3 chain stitches up to ~30s automatically.

Four things Veo 3.1 unlocksthe moment it lands in a Kollab task

Kollab does not wrap Veo 3.1 behind credit packs. The same Vertex API call powers every feature below, so chain, audio, image-to-video, and conversational edits all run inside the workspace you already use.

Four interlocked film frames stitched by a warm thread, ending at a 30-second timer card.

Chain past the 8-second hard cap, automatically.

Vertex caps every Veo 3.1 clip at 8 seconds. Kollab’s veo3 chain command generates the first segment, then feeds each clip as the source for the next, stitching up to roughly 30 seconds per chain. Every intermediate segment lands in the task history as an artifact, so you can re-prompt from segment 2 without rebuilding the whole sequence.

Waveform feeding into a microphone, with liquid pouring into a glass on the right rendered with real physics.

Audio everywhere it was missing — same render pass.

Veo 3.1 added native ambient, dialogue, and SFX inside the model itself. Kollab keeps the audio flag on by default in the skills-server runtime, so a single prompt gives you a clip with sound that already matches the scene’s physics — no second pass through a TTS or sound design tool.

A static product photograph on the left transitioning into a moving film frame on the right with an artifact tag.

Use any workspace artifact as the opening frame.

Drop in a Nano Banana frame, a GPT Image 2 render, or any uploaded photo, then reference it as --first-frame-ref artifact:<id>. Kollab’s skills-server resolves the artifact and hands clean bytes to Vertex — no signed URL juggling, no re-upload, no losing the source visual when the task moves between machines.

Three film cards followed by three conversational instruction bubbles.

Reframe, swap angles, push lighting across turns.

Every Veo 3.1 generation lives inside a Kollab task. Ask for a vertical reframe, a new camera angle, or a more cinematic lighting pass in the same conversation — the prior segments, prompts, and reference artifacts stay attached, so each turn builds on the last instead of restarting from a blank prompt box.

What Kollab Does on Top of Veo 3.1That Higgsfield, Flow, and Arcads Cannot

Every line below maps to a real configuration in apps/skills-server — not a marketing claim. Veo 3.1 is the model. Kollab is the runtime that turns it into work.

  • Default model is veo-3.1-generate-001 for both initial generation and Extend — no model picker, no version drift.
  • veo3 chain command stitches Extend segments automatically up to ~30s per chain, every segment kept as a Kollab artifact.
  • Image-to-video accepts any workspace artifact as --first-frame-ref — no signed URLs, no re-upload.
  • Native ambient, dialogue, and SFX baked into the same render pass — not toggled per call.
  • Kollab’s skills-server owns Vertex credentials, polling, the GCS-to-S3 artifact move, and billing.
  • Every segment persists. If chain segment 3 takes a wrong turn, re-prompt from segment 2 — no restart.

Pull References With /agent-reach.Validate Them With /agent-browser. Generate With /veo-3.

Veo 3.1 is the strongest video model on the market — but a great clip still starts with the right references. Kollab’s skill layer lets one task hand work to three skills in sequence, so the prompt that lands in /veo-3 is already grounded in real, verified visual context.

/agent-reach01

Pull real visual references from 17 platforms.

Ask Kollab for Veo 3.1 demos, competitor ad cuts, or mood references — agent-reach searches X, YouTube, Bilibili, Reddit, RSS, and 12 more, and saves the source URLs into the task. No more screenshotting tabs.

/agent-browser02

Verify URLs, scrape frames, capture proof.

agent-browser opens the references in a real browser, validates they still exist, captures stills, and pulls structured details (title, channel, post date) so the brief you hand to Veo 3.1 is grounded in something verifiable, not a screenshot from last quarter.

/veo-303

Generate, chain, and re-cut with Veo 3.1.

Once the references are in the task, Kollab’s /veo-3 skill calls veo-3.1-generate-001 directly. Use chain for 30-second sequences, --first-frame-ref to lock the opening frame to a workspace artifact, or just keep the conversation going to reframe and re-light.

The Strongest Signal Isn’t a Benchmark —It’s What People Shipped With Veo 3.1.

These are public X posts and official Google DeepMind videos from the weeks after Veo 3.1 launched. Click through to read the originals; the quotes belong to their authors.

Google DeepMind@GoogleDeepMind
Launch

Veo 3.1 ships with improved creative controls for filmmakers, storytellers, and developers — many of them with audio. Better motion, better start/end frame control, multi-image reference for character consistency.

2,400+ likes · launch tweetVideoOpen
Arena.ai@arena
Leaderboard

Veo 3.1 is the first model to cross 1400 in Video Arena — #1 on both Text-to-Video and Image-to-Video, a 30-point jump from Veo 3.0 in a single release.

555 likes · leaderboard signalOpen
el.cine@EHuanglu
Creator

Google Veo 3.1 just killed ad agencies. Now you can create studio-level ads in seconds, keep actor, outfit, product, environment consistent.

1,288 likes · 164 repostsVideoOpen
HeyGen@HeyGen
Consistency

With Veo 3.1 you can create multi-scene videos where your identity stays perfectly consistent from appearance to voice — exactly the part that used to break.

4,191 likes · 529 repostsVideoOpen
Bilawal Sidhu@bilawalsidhu
Audio

Google listened and added audio everywhere it was missing. You can also insert objects into video and (soon) remove them too.

Day-of-launch readVideoOpen
Justine Moore@venturetwins
Pipeline

Nano Banana → Veo 3.1 → ElevenLabs Studio for an end-to-end image-to-video-to-audio pipeline. The shape of work shifted from ‘render a clip’ to ‘compose a sequence.’

2,039 likes · workflow postVideoOpen
Official Google DeepMind Videos
Click to play — videos are lazy-loaded.
Google DeepMind
Veo 3.1 — Designed to empower creatives
YouTube
Google DeepMind
Veo 3.1 — Ingredients to video
YouTube
Google DeepMind
Veo 3.1 — Frames to video
YouTube
Google DeepMind
Veo 3.1 — Create longer, seamless shots
YouTube

From Idea to a Finished Veo 3.1 CutWithout Juggling Five Tabs

One Kollab task. Real references. The strongest video model on the market. Every segment saved as an artifact your whole team can re-use.

01

Brief the Scene

Describe the subject, motion, camera, lighting, duration, aspect ratio, and audio — or paste a script. If the clip needs references, /agent-reach pulls them in the same turn.

02

Lock the First Frame (Optional)

Drop a Nano Banana frame, a GPT Image 2 render, or an uploaded photo into the task and reference it as --first-frame-ref artifact:<id> for image-to-video.

03

Generate or Chain

/veo-3 generates an 8-second 1080p clip with native audio. For longer cuts, /veo-3 chain stitches Extend segments up to ~30 seconds, each saved as its own artifact.

04

Re-Cut by Talking to It

Reframe to vertical, swap the camera angle, push lighting more cinematic, or branch from a midpoint segment — the task keeps every prompt, segment, and review attached.

What Teams Ship With Veo 3.1Inside One Kollab Workspace

Three patterns that already work today. All three use the same /veo-3 skill and the same task surface — the difference is who you hand the artifact to next.

Studio-Level Ad Cuts

Turn an approved product photo, a brand voice note, and a tight brief into 4–8 second cinematic ad reveals. Re-cut for landing pages, paid social, and audience tests without rebuilding the prompt.

Multi-Scene Short Narrative

Use multi-image reference for character consistency, chain Extend segments up to ~30 seconds, and keep every shot as an artifact ready for the editing room.

Concept Films From a Still

Drop a key visual or a Nano Banana frame into the task, use it as the opening frame, and let Veo 3.1 animate the scene with native ambient audio before committing production budget.

Related Video and Image Tools

Seedance 2.0 AI Video GeneratorGemini Omni AI Video GeneratorImage to Video AIGPT Image 2 Image Generator

Frequently Asked Questions

What is Veo 3.1?+

Veo 3.1 is Google DeepMind’s video generation model, released October 15, 2025. It ranked #1 on Video Arena for both text-to-video and image-to-video, with a 30-point jump from Veo 3.0 and the first 1400+ score in Video Arena history. It generates 8-second clips at up to 1080p with native audio.

Is Veo 3.1 in Kollab the same model as Google’s official one?+

Yes. Kollab calls Vertex AI with veo-3.1-generate-001 — the same GA model on Google’s API. Generation, Extend, audio, ratio, and resolution behave identically to the official model.

Can I make videos longer than 8 seconds with Veo 3.1?+

Through the official Veo 3.1 API or Google Vids, no — every clip is capped at 8 seconds. Kollab includes a veo3 chain command that automatically issues Extend jobs and feeds each segment as the source for the next, building up to roughly 30 seconds per chain.

Do I need a Google Cloud project or Vertex AI access?+

No. Kollab’s skills-server owns the Vertex AI credentials, the operation polling, the GCS-to-S3 artifact move, and the billing. You only write the prompt.

Does Kollab’s Veo 3.1 support image-to-video and Extend?+

Yes. Pass any task artifact as --first-frame-ref artifact:<id> for image-to-video, or use veo3 extend with --source-video-job-id to continue an existing clip. Chain combines the two.

How does this compare to Higgsfield, HeyGen, or Arcads?+

Those products wrap Veo 3.1 behind credit packs, per-clip pricing, and standalone interfaces. Kollab calls the same model directly from any task you’re already working in — alongside your scripts, images, prior takes, and the rest of your workspace — with chain and Extend built into one command.

How do /agent-reach and /agent-browser fit in?+

/agent-reach pulls references from 17 platforms (X, YouTube, Reddit, Bilibili, RSS, and more) into the task. /agent-browser validates URLs and captures structured details. /veo-3 then generates with that grounded brief — three skills, one task surface.

Can I use the generated videos commercially?+

Kollab is designed for professional campaign work. Before publishing, review Google’s current Veo usage terms and confirm you have rights to any references, brands, likenesses, or source assets.

The leaderboard-topping video model.One line of natural language inside your task.

Veo 3.1 is the model. Kollab is the runtime that turns it into work — chain, image-to-video, native audio, and every segment as an artifact your team can re-use.