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.
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.
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.
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.
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.
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.
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.
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.
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.
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-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.
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.
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.
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.
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.
Google Veo 3.1 just killed ad agencies. Now you can create studio-level ads in seconds, keep actor, outfit, product, environment consistent.
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.
Google listened and added audio everywhere it was missing. You can also insert objects into video and (soon) remove them too.
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.’
One Kollab task. Real references. The strongest video model on the market. Every segment saved as an artifact your whole team can re-use.
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.
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.
/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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
/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.
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.
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.