# Veo 3.1 Lite Text-to-Video — Atlas Cloud API

> High-efficiency Veo 3.1 Lite text-to-video: create video with synchronized audio from text prompts. Targets high-volume applications with strong price efficiency; 720p/1080p and flexible duration options. Does not support 4K outputs or Extension.

This is the machine-readable API reference for **Veo 3.1 Lite Text-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `google/veo3.1-lite/text-to-video`
- **Built by**: Google
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/google/veo3.1-lite/text-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.05 per second of generated video
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_video` with `model: "google/veo3.1-lite/text-to-video"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate video google/veo3.1-lite/text-to-video -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `google/veo3.1-lite/text-to-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"google/veo3.1-lite/text-to-video"`

- **`prompt`** (`string`, _required_):
  Text description for the video. Supports audio cues (dialogue in quotes, SFX, ambience) per Veo prompt guidance.

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated video.
  - Default: `"16:9"`
  - Options: "16:9", "9:16"

- **`duration`** (`integer`, _optional_):
  Length of the generated video in seconds. Must be 8 when using 1080p resolution.
  - Default: `8`
  - Options: 4, 6, 8

- **`resolution`** (`string`, _optional_):
  Output resolution. 1080p only supports 8s duration. Veo 3.1 Lite does not support 4K.
  - Default: `"720p"`
  - Options: "720p", "1080p"

- **`seed`** (`integer`, _optional_):
  Random seed. Does not guarantee determinism but may improve repeatability. -1 means a random seed will be used.
  - Default: `-1`



**Required Parameters Example**:

```json
{
  "model": "google/veo3.1-lite/text-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "google/veo3.1-lite/text-to-video",
  "prompt": "",
  "aspect_ratio": "16:9",
  "duration": 8,
  "resolution": "720p",
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "google/veo3.1-lite/text-to-video",
  "prompt": "",
  "aspect_ratio": "16:9",
  "duration": 8,
  "resolution": "720p",
  "seed": -1
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/google/veo3.1-lite/text-to-video)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

### Google Veo 3.1 Lite — Text-to-Video

**Veo 3.1 Lite Preview** ([`veo-3.1-lite-generate-preview`](https://ai.google.dev/gemini-api/docs/models/veo-3.1-lite-generate-preview)) is a high-efficiency, developer-oriented video model from Google. It targets **high-volume** applications with **strong price efficiency** while still delivering **high-fidelity** generation, editing, and cinematic control derived from the Veo 3.1 family. Outputs are **video with audio**. Per the [official model page](https://ai.google.dev/gemini-api/docs/models/veo-3.1-lite-generate-preview), **Veo 3.1 Lite Preview does not support 4K outputs or Extension**; see the broader [Video generation](https://ai.google.dev/gemini-api/docs/video) documentation for full platform capabilities.

---

#### Overview

Generate videos using Google's **Veo 3.1 Lite** model.

A **lightweight, cost-effective** variant of Veo 3.1 that **always generates video with audio**.

---

#### Prompting for best results

For best results, prompts should be **descriptive and clear**. Include:

- **Subject:** What you want in the video (object, person, animal, scenery)
- **Context:** The background / setting
- **Action:** What the subject is doing
- **Style:** Film style keywords (horror, noir, cartoon, etc.)
- **Camera motion (optional):** Aerial view, tracking shot, etc.
- **Composition (optional):** Wide shot, close-up, etc.
- **Ambiance (optional):** Color and lighting details

---

#### Supported options

The model supports:

- **720p** or **1080p** resolution
- **4, 6, or 8** second duration (**1080p requires 8s**)
- **16:9** and **9:16** aspect ratios
- **Audio is always generated**
- **Safety filters** prevent generation of inappropriate content

---

#### Reference

- [Veo 3.1 Lite Preview — Gemini API](https://ai.google.dev/gemini-api/docs/models/veo-3.1-lite-generate-preview)

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/google/veo3.1-lite/text-to-video · Docs: https://www.atlascloud.ai/docs