Veo 3.1 Fast API

google/veo-3.1-i2v-fast
It supports fast Text-to-Video, Image-to-Video, and First-Last Frame-to-Video generation, enabling rapid creation of dynamic video content.
Output
$0.13 / sec (variable)
Released
May 27, 2026

Overview

Model Overview

Veo 3.1 Fast API is an accelerated variant of Google's DeepMind Veo 3.1 model designed for text-to-video generation. It produces high-quality videos of up to 1080p resolution with realistic natural motion, cinematographic camera movements, and synchronized native audio including background sounds, light music, and speech-like lip-sync for characters.

What Makes Veo 3.1 Fast Different

Veo 3.1 Fast prioritizes generation speed and operational efficiency. Compared to standard Veo workflows, it is tuned for faster inference and streamlined outputs, enabling near-real-time video creation in production environments. This makes it especially suitable for dynamic user experiences, rapid prototyping, and large-scale automation where time-to-result matters.

Rather than replacing the core Veo 3.1 capabilities, the Fast API offers a focused subset of generation paths that cover the most common and performance-critical use cases.

Technical Specifications

  • Resolution: Supports output at 720p and 1080p for videos, optimized at 8 seconds duration.
  • Frame Rate: 24 frames per second for smooth cinematic video playback.
  • Video Duration: Typically generates 8-second clips; supports shorter lengths (4-6 seconds) as well.
  • Audio: Natively generates audio synchronized with video content, including speech, effects, and ambient sounds.
  • Performance: Optimized for speed with reduced latency compared to standard Veo 3.1, making it suitable for faster content production.

API Pricing

  • audio off: $0.13;
  • audio on: $0.195

Core Video Generation Modes

Veo 3.1 Fast supports several logically scoped API options, each optimized for speed while retaining creative control.

Veo 3.1 Fast Text-to-Video

This mode generates short, high-quality video clips directly from natural language prompts. Users describe scenes, actions, and visual intent, and the model produces animated video content with coherent motion and consistent style. The Fast configuration is ideal for applications that require quick previews, rapid iterations, or user-driven video generation at scale.

Veo 3.1 Fast Image-to-Video

Image-to-Video in Veo 3.1 Fast transforms a single image into a dynamic video sequence. The model extrapolates motion, depth, and environmental context while maintaining visual fidelity to the original image. This mode is optimized for fast animation of existing assets, such as product visuals, illustrations, or character artwork.

Veo 3.1 Fast First-Last Frame-to-Video

This option allows developers to define the opening and closing frames of a clip, with Veo 3.1 Fast generating a smooth transition between them. By anchoring the beginning and end states, the model creates controlled motion paths while minimizing generation time. It is particularly effective for transitions, micro-stories, and UI-driven video effects.

How the Fast API Works

Developers provide a prompt or visual inputs, select the Fast generation mode, and specify basic output parameters such as aspect ratio or duration. Video generation runs asynchronously, allowing applications to remain responsive while results are produced quickly and reliably. This design supports integration into real-time systems, batch pipelines, and creative tools where low latency and predictable performance are essential.

Output Characteristics

Veo 3.1 Fast delivers visually coherent video with smooth motion and consistent framing. It supports common aspect ratios, including landscape and vertical formats, and produces outputs suitable for social platforms, previews, and embedded experiences. While optimized for speed, the model maintains strong alignment with prompts and input visuals, ensuring usable, production-ready results for fast-moving workflows.

Key Features

  • Ultra-fast inference: Reduces generation time from minutes to seconds using optimized temporal attention layers.
  • Enhanced motion control: Precisely interprets prompt direction like “drone shot,” “slow pan,” or “macro view.”
  • Photorealistic rendering: Improved lighting, texture detail, and realistic camera depth.
  • Prompt consistency: Strong semantic and visual adherence even in long sequences.
  • Dynamic texture synthesis: Retains surface details during high-motion frames.
  • Modular API: Easily integrates with creative pipelines or video editors.
  • Low compute mode: Adaptive frame scheduling for resource-limited environments.

Ideal Use Cases

Veo 3.1 Fast is well-suited for interactive platforms, user-generated content tools, rapid creative iteration, and automated video pipelines. It enables instant previews, fast content variation, and large-volume generation for marketing, social media, e-commerce, and internal tools. For teams that need AI video generation to feel immediate and reliable, the Fast API is a natural fit.

Comparison with Other Models

vs OpenAI Sora

  • Rendering Philosophy: Sora aims for cinematic storytelling and long-form temporal consistency (up to 1 minute), while Veo 3.1 Fast is optimized for short to mid-length (8–20 s) highly responsive generation for production pipelines.
  • Speed: Veo 3.1 Fast produces videos nearly 60% faster than Sora’s current inference time, making it better suited for real-time or iterative creative workflows.
  • Realism & Motion: Sora leads slightly in global illumination realism and multi-scene continuity, but Veo performs better in high-motion scenes and fine semantic alignment with text prompts.

vs Runway Gen-3 Alpha

  • Output Style: Runway’s Gen-3 emphasizes dynamic, stylistic cinematic tones and color grading inspired by human cinematography; Veo focuses on precise physical realism, with less stylization but stronger grounding in real-world motion.
  • Prompt Interpretation: Veo’s multimodal prompt parser interprets camera instructions ("low-angle truck shot," "bokeh close-up") more literally and predictably than Runway’s system, which embeds an aesthetic layer that blends artistic freedom.

Use cases

  • Content Creation: Rapid production of cinematic-quality short videos for social media, marketing, and storytelling.
  • Virtual Characters: Creating talking avatars or animated characters with synchronized lip movements.
  • Commercial Presentations: Generating product demos or promotional clips with integrated sound effects.
  • Creative Media: Crafting stylized video sequences with consistent mood and visual style from textual descriptions.

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How to use Veo 3.1 Fast API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/veo-3.1-i2v-fast.
import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "google/veo-3.1-i2v-fast",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])
const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "google/veo-3.1-i2v-fast",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);
# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/veo-3.1-i2v-fast","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Veo 3.1 Fast API Pricing

TypePrice
Output
$0.13 / sec (variable)

Veo 3.1 Fast Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Text-to-Video Arena
964
Human preference Elo from blind pairwise comparisons of generated videos, measured independently by Artificial AnalysisSourceOctober 4, 2026

Veo 3.1 Fast vs other models

ModelInputOutputContextBest for
Veo 3.1 Fast
This page
$0.13 / sec (variable)
Video generation
$0.26 / sec (variable)
Video generation
$1.95 / 1M tokens
$22.75 / 1M tokens
Video generation
$0.09243–$1.014 / sec (by resolution)
Cinematic video + native audio

Frequently asked questions

Veo 3.1 Fast takes image, text as input and returns video.

Veo 3.1 Fast is priced at $0.13 / sec (variable).

Veo 3.1 Fast is billed per generation — a fixed charge per output rather than by prompt length.

Yes, Veo 3.1 Fast accepts image input as well as a text prompt.

Veo 3.1 Fast was built by Google.

Send a request to v2/video/generations with google/veo-3.1-i2v-fast as the model id.

Yes. Veo 3.1 Fast is served through AI/ML API, so the same key and endpoint format used for other models applies.

Yes, it includes audio generation as one of its features.

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