Create
Generate short videos with Veo 3.1 from a text prompt — async-polled by the orchestrator, dropped into your Tool Runs.
One prompt, one shot, one watch-worthy clip.
Google's state-of-the-art model for generating high-fidelity videos. This page pins the picker to Veo 3.1 so you stop A/B-flipping mid-project. Strengths the model is known for include audio, physics realism, high-quality video. Write a prompt that names the subject, the camera move, the lighting, and the mood; the orchestrator submits the job, polls until it's ready, and credits your account once on success. Returns drop into your Tool Runs for download or re-render. Pair it with the image-to-video version of Veo 3.1 when you want a specific opening frame.
Five steps from text prompt to a watch-worthy clip.
Strengths called out on Google's own model card.
Why people pick this model
Veo 3.1 is consistently picked for audio — it shows up first on Google's own published model card and again in real-world side-by-side tests.
Where it edges the competition
Physics Realism is the named differentiator on Veo 3.1 versus other Google releases — useful when this is the axis that actually matters for your output.
A strength on the model card
If your job hinges on high-quality video, Veo 3.1 is the lane to choose; the model team optimized for this trade-off explicitly.
What it is consistently good at
Native Audio is the reason Veo 3.1 gets the dedicated landing page instead of being buried behind the multi-model picker.
Single-shot storytelling
Use Veo 3.1 for one-shot vignettes; multi-shot edits should be assembled in a real NLE.
Reels, TikTok, Shorts
Generate vertical 9:16 directly when the model supports it — no post-crop guesswork.
Concrete use-cases that justify a dedicated landing page.
And why pinning the model matters.
Text-to-video models trade off motion, fidelity, and physics in different ways. Veo 3.1 from Google sits in its own pocket of that triangle — strengths called out include audio, physics realism, high-quality video, native audio. The dedicated landing removes guesswork: every clip is rendered by the same engine with the same defaults, so creative iteration is about the prompt, not the picker. The orchestrator handles async job polling, credit deferral, and result storage transparently — you only see the finished clip.
Small adjustments that meaningfully improve output quality.
Veo 3.1 is an AI video generator built by Google. Google's state-of-the-art model for generating high-fidelity videos. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.
Anyone with a Gab AI account can run Veo 3.1. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.
Credit cost is set on the underlying Veo 3.1 model, not on this tool. The form recalculates and displays the exact cost as you change duration and resolution, so you see the bill before you submit — never after.
Duration is controlled by the model's own parameter set. Veo 3.1 exposes the durations it actually supports in the form, with credit cost shown per option so you can budget the run.
Veo 3.1 does not embed visible watermarks by default in this pipeline. Vendor-side invisible content-credentials may still be present — that's a model behaviour, not a tool one.
Because every model is different and the multi-model picker quietly hides those differences. Pinning Veo 3.1 to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.
Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.
Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.
One model, one form, one good result.
Stop arguing with a model picker mid-project. Pin Veo 3.1 as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.