Powered by Google
Veo 3.1 Lite
- Video Generation
Veo 3.1 Lite is Google DeepMind’s most cost‑effective Veo 3–series video generation model, designed to create high‑quality, short videos with native audio from text or image prompts. It targets high‑volume, budget‑sensitive workloads while maintaining strong visual and audio fidelity.
About the model
What is Veo 3.1 Lite?
Veo 3.1 Lite is a cost‑efficient video generation model from Google that produces short 720p or 1080p videos with synchronized audio from natural‑language or image inputs. It is mainly used for high‑volume text‑to‑video and image‑to‑video creation in contexts like social content, marketing clips, product demos, and rapid concept iteration. It is also used as a lower‑cost preview or batch‑generation option for developers accessing video capabilities via the Gemini API, Google AI Studio, and other integrated platforms. Veo 3.1 Lite belongs to the Veo 3 family and is a lighter, cheaper tier derived from the Veo 3 / Veo 3.1 architecture.
Model capabilities
5 Core Capabilities
-
Text-to-video
Generates short 720p or 1080p videos directly from natural language prompts for social clips, ads, and quick concept visuals.
-
Image-to-video
Animates a single input image into short video clips while preserving core composition, style, and subject appearance over time.
-
Prompt controllability
Follows written instructions closely, allowing directional control over motion, framing, and basic scene evolution within generated clips.
-
Vertical formats
Supports landscape and portrait aspect ratios to natively create content suited for mobile-first platforms like Shorts and Reels.
-
Cost-efficient scaling
Designed as Google’s lowest-cost Veo 3.1 tier so developers can run high-volume video generation workloads more affordably.
Use cases
6 Most Valuable Use Cases
- Social media clips
- Product Promo Videos
- Educational Explainer Videos
- Gameplay Highlight Reels
- Marketing Ad Creatives
- Prototype Video Generation
Transparent pricing
Cost Comparison
Up to ~70% cheaper per video than Google Veo 3.1-based APIs
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~800ms | ~30 vid/min | 99.99% | ~$0.40/vid | ~$0.40/vid | ~90s video |
| Global | ~1500ms | ~12 vid/min | 99.9% | ~$1.20/vid | ~$1.20/vid | ~60s video | |
| Vertex AI (Google Cloud) | US East | ~1800ms | ~10 vid/min | 99.9% | ~$1.40/vid | ~$1.40/vid | ~60s video |
| Lambda | US West | ~2000ms | ~8 vid/min | 99.5% | ~$1.00/vid | ~$1.00/vid | ~60s video |
Performance benchmarks
Technical Specifications
| Metric | Veo 3.1 Lite (Google) | Sora (OpenAI) | Kling 1.5 (Kuaishou) |
|---|---|---|---|
| Latency per Video (60s, 1080p) | ~35s | ~40s | ~38s |
| Throughput | ~30 vids/min | ~25 vids/min | ~28 vids/min |
| Max Resolution | 1080p | 1080p | 4K |
| Max Clip Length | 60s | 60s | 120s |
| Price per 10s @1080p | ~$0.03 | ~$0.05 | ~$0.02 |
| Supported Input Modalities | Text, Image | Text, Image | Text, Image |
| Uptime | 99.9% | 99.5% | 99.0% |
30-day usage via LLM API
- 6.8B
- Prompt tokens processed (30 days)
- 2.1M
- API requests served (30 days)
- 1.5B
- Completion tokens generated (30 days)
- 99.8%
- Avg uptime over last 30 days
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent Model Routing
Automatically route each request to the optimal model across providers based on latency, price, and quality—no client changes required when your stack evolves.
One endpoint, every model -
Cost-Aware Orchestration
Control spend with per-route price caps, dynamic model downgrades, and transparent usage reporting so you ship AI features without surprise bills.
Optimize for price, not pain -
Resilient Fallback Logic
Define automatic cross-provider fallbacks when a model is slow, degraded, or down, ensuring consistent uptime and predictable responses in production.
Stay online, even when LLMs fail -
End-to-End Observability
Get full visibility into latency, errors, token usage, and provider health with request-level logs and metrics tailored for AI traffic at scale.
See every token, every hop -
Task-Level Abstractions
Describe tasks like chat, generation, extraction, and tools once, then plug in any provider without rewriting prompts or payload shapes.
Think in tasks, not vendors -
High-Throughput Batch APIs
Submit large batches of jobs through a single optimized pipeline to reduce overhead, smooth rate limits, and cut inference costs at scale.
Ship thousands of calls at once
Decision guide
When to Use — When NOT to Use
Use it if...
- You need fast, low-cost video generation prototypes without requiring the highest possible fidelity.
- You need to iterate quickly on video concepts where approximate visuals are acceptable.
- Your use case involves lightweight creative experiments, storyboarding, or animatics for internal review.
- Your use case involves batch-generating many short clips where efficiency matters more than polish.
- You need a smaller video model to integrate into tools with strict cost constraints.
- Your use case involves educational or explainer content where rough but clear visuals suffice.
Avoid if...
- You need the highest-quality, cinema-grade video outputs for final production or broadcast.
- Your workload requires extremely accurate rendering of complex scenes, physics, or fine details.
- You need robust handling of long, narrative videos with consistent characters and environments.
- Your workload requires advanced controllability like precise camera paths and frame-perfect editing.
- You need state-of-the-art multimodal reasoning or long-text understanding in addition to video generation.
- Your workload requires strict photorealism and brand-perfect assets for high-stakes marketing campaigns.
FAQ
Frequently Asked Questions
-
What is Veo 3.1 Lite?
Veo 3.1 Lite is a lightweight Google video generation model optimized for fast, cost-efficient creation of short, high-quality video clips.
-
What is Veo 3.1 Lite best suited for?
Veo 3.1 Lite is best for rapid iteration on short marketing clips, social content, and prototyping video concepts where speed and cost matter most.
-
What modalities does Veo 3.1 Lite support via LLM.API?
Veo 3.1 Lite supports text-to-video generation and may optionally condition on image prompts when exposed via LLM.API.
-
How is Veo 3.1 Lite priced on LLM.API?
Veo 3.1 Lite pricing on LLM.API is usage-based per generated video duration; check your LLM.API dashboard or pricing docs for current rates.
-
How fast is Veo 3.1 Lite in terms of latency?
Veo 3.1 Lite is tuned for relatively low latency, returning short video generations faster than heavier Veo variants on the same hardware.
-
What is the maximum video length Veo 3.1 Lite can generate via LLM.API?
Veo 3.1 Lite is typically limited to short clips; refer to LLM.API model docs for the current maximum supported video duration.
-
How do I call Veo 3.1 Lite through the LLM.API?
You select the "Veo 3.1 Lite" model in your LLM.API request and send a text prompt plus optional video configuration parameters.
-
How does Veo 3.1 Lite compare to heavier Veo models?
Veo 3.1 Lite trades some fidelity and complex scene understanding for significantly lower cost and faster generation than larger Veo variants.
-
Does Veo 3.1 Lite support long, story-like videos?
Veo 3.1 Lite is not designed for long-form storytelling and works best on short, self-contained video prompts.
-
What are the main limitations of Veo 3.1 Lite?
Veo 3.1 Lite can struggle with intricate narratives, frame-perfect temporal consistency, and fine-grained control over every scene element.
-
Can I control resolution and aspect ratio with Veo 3.1 Lite?
Yes, Veo 3.1 Lite typically allows specifying resolution and aspect ratio within the constraints documented by LLM.API.
-
Does Veo 3.1 Lite accept audio or generate soundtracks?
Veo 3.1 Lite focuses on visual generation and does not natively handle audio input or soundtrack generation through LLM.API.