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Veo 3.1 Fast

Veo 3.1 Fast is Google's high-speed variant of the Veo 3.1 text-to-video model, optimized to generate short, high-fidelity videos with native audio at lower latency and cost.

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What is Veo 3.1 Fast?

Veo 3.1 Fast is a video generation model from Google that produces short, high-quality videos with synchronized audio from text and image prompts. It is mainly used for fast creative prototyping, advertising hooks, social media clips, and other workflows that require quick turnaround at scale. It is also used in image-to-video and first/last-frame guided generation pipelines where teams need many iterations with controllable duration, resolution, and aspect ratios. Veo 3.1 Fast belongs to Google’s Veo 3.1 family as the speed-optimized tier alongside the standard and Lite variants.

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Provider Input Output Cache read /M Latency Throughput Uptime
Google ~$2.50/vid $0.00 — ~3.0s ~60 vid/min 100.00%
Vertex AI (Google Cloud) ~$2.80/vid $0.00 — ~3.5s ~45 vid/min 99.9%
Replicate ~$3.20/vid $0.00 — ~4.0s ~40 vid/min 99.5%

Try this model

Test Veo 3.1 Fast right here — free to start.

Veo 3.1 Fast
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call the model through the OpenAI-compatible API.

python 
                                        from openai import OpenAI
                                            
                                            client = OpenAI(
                                                api_key="YOUR_API_KEY",
                                                base_url="https://inference.example.com/v1"
                                            )
                                            
                                            response = client.chat.completions.create(
                                                model="google/veo-3-1-fast",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "google/veo-3-1-fast",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

Uptime

30-Day Uptime
100.00%
Past Incidents (30d)
0
Error rate (24h)
0.00%

Last 30 days

30/30 days operational | 100.00% uptime

30 days ago Today
Operational Degraded Outage Maintenance
See All Incidents

5 Core Capabilities

  • Video Generation

    Generates short-form videos from text prompts, optimizing for speed while maintaining coherent motion, scenes, and overall visual quality.

  • Text-Based Control

    Interprets detailed textual instructions to control video content, including camera movements, scene changes, and object behaviors over time.

  • Frame-Level Consistency

    Maintains temporal consistency of objects, lighting, and composition across frames to produce stable, watchable video outputs from prompts.

  • Multimodal Prompting

    Uses combined text and reference image inputs to guide style, layout, and subject appearance in generated videos efficiently.

  • Style Adaptation

    Adapts videos to different visual styles, such as cinematic, animation, or sketch, based on descriptive prompting and examples.

6 Most Valuable Use Cases

  • Short Social Clips
  • Product Promo Videos
  • Explainer Animations
  • Educational Video Content
  • Advertising Creatives
  • Storyboard Prototyping

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Unified AI Routing

    Define intent once and let LLM.API route to the optimal model or provider using rules, metadata, and performance signals—without changing your application code.

    One endpoint, any model

  • Cost-Aware Orchestration

    Balance price and quality automatically with policy-based cost controls, per-project budgets, and transparent usage insights so teams can ship faster without surprises.

    Control spend by design

  • Automatic Fallback Logic

    Survive provider outages and rate limits with configurable failover chains that retry, downgrade models, or switch vendors—without adding brittle error handling everywhere.

    Resilient by default

  • Full-Stack Observability

    Trace every request across models and providers with logs, metrics, and structured events, making it easy to debug latency issues and optimize real-world performance.

    See every token

  • Task-Native Abstractions

    Use high-level task APIs for chat, generation, tools, and workflows instead of vendor-specific prompts, keeping your application logic portable as the model landscape evolves.

    Code to tasks, not models

  • High-Throughput Batch Runs

    Process millions of inferences via batch APIs with concurrency controls, automatic chunking, and retry semantics, turning large-scale evaluations and backfills into a single job.

    Scale evaluations effortlessly

When to Use — When NOT to Use

Use it if...

  • You need fast generation of short video clips for social media or marketing.
  • You need quick iteration on many video variants where slightly lower fidelity is acceptable.
  • Your use case involves interactive prototyping of video concepts with rapid prompt–output cycles.
  • Your use case involves programmatically generating large batches of short, simple product videos.
  • You need to embed lightweight video generation into a broader application workflow or pipeline.
  • Your use case involves prompt experimentation to discover ideas before using slower, higher-quality models.

Avoid if...

  • You need the highest possible cinematic quality where small visual artifacts are unacceptable.
  • Your workload requires frame-perfect continuity for complex scenes or long narrative sequences.
  • You need fine-grained control over every camera movement, shot composition, and scene transition.
  • Your workload requires ultra-high-resolution outputs optimized for theatrical or large-display projection.
  • You need consistent long-form character animation with detailed emotional expression and subtle motion.
  • Your workload requires strict reproduction of brand assets where any visual drift is unacceptable.

Frequently Asked Questions

  • What is Veo 3.1 Fast?

    Veo 3.1 Fast is a Google video generation model optimized for faster, lower-cost rendering of short and medium-length videos.

  • What modalities does Veo 3.1 Fast support via LLM.API?

    Veo 3.1 Fast supports text-to-video generation, and may also accept image-plus-text prompts for video, depending on your LLM.API account configuration.

  • How does Veo 3.1 Fast compare to slower Veo variants?

    Veo 3.1 Fast typically trades off some peak visual fidelity and complex scene coherence for lower latency and reduced cost per generated video.

  • What is the context window or prompt size limit for Veo 3.1 Fast?

    Veo 3.1 Fast accepts relatively long natural-language prompts, but LLM.API may impose additional maximum prompt length and metadata size limits.

  • How fast is Veo 3.1 Fast in terms of latency?

    Veo 3.1 Fast is designed for significantly lower end-to-end generation latency than higher-quality Veo tiers, especially for shorter clips.

  • How is pricing for Veo 3.1 Fast handled on LLM.API?

    Veo 3.1 Fast is billed per generated video or per generated second, with exact pricing determined by LLM.API’s current Google Veo rate card.

  • How do I call Veo 3.1 Fast through the LLM.API?

    You select the model identifier for Veo 3.1 Fast in your LLM.API request and send a text prompt plus any video-specific parameters supported.

  • Does Veo 3.1 Fast support streaming or chunked video output?

    Depending on LLM.API integration, Veo 3.1 Fast may return either a final downloadable video asset URL or partial progress status before completion.

  • What are the main limitations of Veo 3.1 Fast?

    Veo 3.1 Fast can struggle with highly detailed narratives, small on-screen text, precise brand likenesses, and may enforce safety filters on sensitive content.

  • Can I use Veo 3.1 Fast for audio or image-only generation?

    Veo 3.1 Fast focuses on video synthesis and does not natively generate standalone audio tracks or still images as primary outputs.

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