Veo 3.1
State-of-the-art video generation built for maximum visual fidelity in final production cuts.
Anyone in the Space can @-mention Veo 3.1 with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Space, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- High-resolution marketing video generation
- Product demonstration videos with camera motion
- Creative prototyping for film and advertising
- Multi-subject scenes with temporal consistency
- Text-to-video with detailed scene control
Strengths
Veo 3.1 excels at maintaining visual coherence across longer sequences, handling complex camera movements like pans, tilts, and tracking shots without the jitter or morphing artifacts common in earlier video models. Multi-subject scenes stay stable—characters don't merge or vanish mid-frame. The model understands nuanced prompts about lighting, composition, and motion dynamics, making it viable for professional creative workflows where output quality justifies longer wait times.
Trade-offs
Generation speed lags behind real-time or near-real-time competitors, often taking minutes per clip depending on resolution and length. The model occasionally struggles with fine-grained text rendering within video frames and can produce uncanny facial expressions in close-ups. Pricing details remain opaque at launch, which complicates cost planning for production-scale use. Compared to open-weight alternatives, you're locked into Google's infrastructure with no self-hosting option.
Specifications
- Provider
- Category
- video
- Context length
- —
- Max output
- —
- Modalities
- text, image, video, audio
- License
- proprietary
- Released
- —
Pricing
- Input
- $0.00/Mtok
- Output
- $0.00/Mtok
- Model ID
google/veo-3.1
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| — | $0.00/Mtok | $0.00/Mtok | — | — | — |
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Product Demo Walkthrough
Create a 10-second video: slow 360-degree tracking shot around a sleek wireless headphone on a white pedestal, studio lighting, shallow depth of field, product remains centered and in focus throughout.Open in a Space →
Cinematic Scene Opener
Generate a 15-second video: drone shot rising over a misty forest at dawn, camera tilts down to reveal a small cabin with smoke from chimney, golden hour lighting, smooth motion.Open in a Space →
Character Action Sequence
Create a 12-second video: two people walking side-by-side through a busy city street, camera follows from behind, pedestrians pass naturally, consistent lighting and motion blur.Open in a Space →
Abstract Motion Graphics
Generate an 8-second video: colorful liquid paint swirling and mixing in slow motion against black background, vibrant blues and oranges, high contrast, smooth fluid dynamics.Open in a Space →
Architectural Flythrough
Create a 10-second video: smooth forward dolly shot through a modern minimalist living room, camera glides past furniture and large windows, natural daylight, steady motion without shake.Open in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
Generate a 10-second product video: a sleek wireless earbud rotating on a marble surface with soft studio lighting. Camera slowly orbits the product. Minimalist aesthetic, shallow depth of field.
The model produces a smooth, cinematic rotation shot with realistic lighting reflections dancing across the earbud's glossy surface. The marble texture shows convincing detail and the depth-of-field blur creates professional separation between subject and background. Motion is fluid with no visible artifacts in the rotation, though the lighting consistency wavers slightly during the fastest camera movement. The final render maintains 1080p clarity throughout with natural shadow falloff.
Demonstrates Veo 3.1's strength in controlled product cinematography with precise camera movements and material rendering. The model handles reflective surfaces and complex lighting well, making it suitable for e-commerce and marketing content. Minor lighting inconsistency during rapid motion suggests careful prompt pacing improves results.
Create a 15-second establishing shot: sunrise over a misty mountain valley, camera slowly pushing forward through low clouds. Golden hour lighting, cinematic color grading, ethereal atmosphere.
The generated sequence opens with layered mountain silhouettes emerging from volumetric fog, with convincing atmospheric perspective creating depth. Sunlight breaks through clouds with realistic god-ray effects and warm color temperature. The forward camera movement maintains smooth momentum while fog particles drift naturally across the frame. Distant peaks hold detail even through the haze, and the color palette shifts authentically as the camera descends through cloud layers.
Showcases Veo 3.1's capability for atmospheric landscape generation with complex volumetric effects and natural lighting simulation. The model excels at creating mood through weather and time-of-day rendering. Best suited for establishing shots and environmental storytelling where photorealism matters less than emotional impact.
Generate a 12-second scene: a chef's hands chopping fresh herbs on a wooden cutting board, close-up shot. Natural kitchen lighting from a window, shallow focus on the knife blade, herbs scattering realistically.
The model renders detailed hand movements with natural joint articulation and realistic knife handling technique. Herb fragments scatter with convincing physics as the blade makes contact, and the shallow focus rack smoothly between the knife edge and the cutting board grain. Window light creates authentic shadows and highlights on the chef's hands. However, the finest herb details occasionally soften during rapid motion, and finger positioning shows minor anatomical approximation rather than perfect human accuracy.
Highlights Veo 3.1's competence in close-up action sequences with object interaction and practical physics. The model handles human hands better than many video generators, though fine motor detail remains an area where careful framing helps. Zero-token context window means each generation is independent—no iterative refinement of hand positions across multiple attempts.
Use-case deep-dives
When Veo 3.1 replaces your video editor for SaaS demos
A 4-person SaaS startup shipping bi-weekly feature releases needs demo videos for each launch without hiring a videographer. Veo 3.1 generates product walkthrough footage from text prompts and UI screenshots, turning a 3-day editing cycle into a 20-minute generation loop. The model handles multi-modal input (text descriptions plus product screenshots) and outputs video directly, eliminating the Adobe Premiere seat license and contractor invoices. At $0.00 per generation during preview access, the cost floor is unbeatable for teams producing 8-12 videos per month. Trade-off: output quality depends on prompt precision and Google's undisclosed training data—if your product has highly specific UI states or niche industry context, expect 2-3 iteration rounds per final cut. If you're generating more than 15 videos monthly and need frame-level control, budget for a hybrid workflow with a human editor on retainer.
Veo 3.1 for high-frequency Instagram Reels at agency scale
A 12-person creative agency managing 8 consumer brand accounts needs 40+ short-form videos per week for Instagram and TikTok. Veo 3.1's text-to-video and image-to-video modes let junior creatives generate B-roll, product shots, and lifestyle clips from mood boards and copy decks without booking studio time. The model's audio handling means background music and voiceover sync happens in one pass, collapsing a traditional 4-hour shoot-edit cycle into 30 minutes of prompt iteration. With zero per-token cost during the preview window, the agency reallocates $8K/month in production budget to strategy hours. Limitation: the 0-token context window means each video is a standalone generation—no multi-scene narratives or callback references across a campaign series. If your brand needs episodic storytelling or tight visual continuity across 6+ posts, you'll still need a human director stitching the outputs together in post.
When Veo 3.1 scales compliance training across 14 markets
A 200-employee logistics company runs quarterly safety training in 14 languages, historically re-shooting each module with local actors at $12K per language. Veo 3.1 generates localized video from the English master script plus regional image references (warehouse layouts, uniform styles, signage), cutting per-language cost to near-zero during preview pricing. The model's multi-modal input handles text prompts for narration, reference photos for setting accuracy, and audio cues for pacing, producing 18-minute training modules that pass internal compliance review on the first pass 70% of the time. The 30% requiring human touch are usually cultural nuance issues (gesture norms, hierarchical framing) that a regional HR lead fixes in a 20-minute Loom review. Break-even threshold: if you're localizing fewer than 5 videos per year, the prompt-engineering learning curve costs more than hiring a bilingual contractor. Above 8 videos annually, Veo 3.1's zero marginal cost makes it the default play.
Frequently asked
Is Veo 3.1 good for generating marketing videos?
Yes, if you need AI-generated video from text or image prompts. Veo 3.1 handles multi-modal input including audio, so you can produce short-form content without manual editing. Quality depends on prompt specificity — expect to iterate. Best for social clips and concept mockups, not broadcast-grade production work.
How much does Veo 3.1 cost compared to Runway or Pika?
Google hasn't published token-based pricing for Veo 3.1 yet, so direct cost comparison is impossible. Runway Gen-3 charges per second of video output; Pika uses credit systems. If you're already in Google Cloud, Veo may bundle better with Vertex AI workflows, but wait for transparent pricing before committing to volume work.
Can Veo 3.1 generate videos longer than 10 seconds?
Google hasn't disclosed hard length limits for Veo 3.1. Earlier Veo versions capped at 60 seconds. Assume similar constraints here — long-form video still requires stitching multiple generations. If you need 2+ minute clips in one pass, you're better off with traditional editing tools or waiting for explicit multi-minute support.
Is Veo 3.1 better than Veo 2 for realistic motion?
Google claims Veo 3.1 improves motion coherence and temporal consistency over Veo 2, but no public benchmarks exist to verify this. User reports suggest fewer artifacts in camera movement and object tracking. Without side-by-side metrics, treat this as an incremental upgrade — test both if motion quality is mission-critical for your use case.
Should I use Veo 3.1 for real-time video chat applications?
No. Veo 3.1 is a generative video model, not a real-time processing pipeline. Generation latency is measured in seconds or minutes per clip, not milliseconds. For live video chat, you need WebRTC stacks or models like LivePortrait. Use Veo for pre-rendered content, not interactive streams.