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What is Veo 3.1 Lite?

Veo 3.1 Lite is a powerful and cost-efficient video generation model developed by Google DeepMind, designed to make AI-driven video creation more accessible for developers. It enables users to generate videos from both text and image inputs, supporting a wide range of creative and functional use cases. The model delivers high-speed performance comparable to other versions in the Veo 3.1 family while offering significantly reduced costs, making it ideal for large-scale deployments. It supports multiple video formats, including landscape (16:9) and portrait (9:16), as well as high-definition resolutions such as 720p and 1080p. Developers can customize video duration, selecting from multiple time options to fit different content requirements. Veo 3.1 Lite is available through the Gemini API and Google AI Studio, allowing seamless integration into applications and workflows. Its efficient design enables developers to build high-volume video generation systems without excessive costs. The model is suitable for creating content for marketing, social media, product demonstrations, and more. It provides flexibility in framing and output, allowing developers to tailor videos to specific platforms and audiences. By lowering the barrier to entry, it encourages wider adoption of AI-powered video tools. Veo 3.1 Lite also complements other models in the Veo ecosystem, giving developers options based on performance and budget needs. Its scalability makes it ideal for startups as well as enterprise-level applications. The model supports rapid iteration, enabling developers to refine and improve video outputs quickly. Ultimately, Veo 3.1 Lite empowers developers to create high-quality video content efficiently, affordably, and at scale.

What is LTX?

LTX builds open world models, AI systems that generate, simulate, and shape video, audio, and the physical world. Lightricks created LTX so that developers, studios, and enterprises can own the model they build on, not just rent access to someone else's. The current release, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer. It renders native 4K footage at up to 50fps and produces synchronized audio and video in one pass, no separate tools required. Independent benchmarks from Artificial Analysis place LTX in the top three AI video models worldwide. There is no single way to work with LTX. Pull the open weights and run the model yourself on your own machines. Take a commercial license for on-premise deployment with full enterprise support. Or use LTX Studio, the packaged production suite for creative teams that want the model without managing the infrastructure. ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA all build on it today. If you need a quick clip for social media, look elsewhere. LTX exists for AI teams turning video, audio, and simulation into part of their own product, not a novelty.

Media

Media

Integrations Supported

Anyvids
Gemini
Google AI Studio
Veo 3.1

Integrations Supported

Comfy Cloud
ComfyUI
GitHub
Hugging Face
LTX-2.3
LTX-2.5
LTXV
Python
RunDiffusion
fal

API Availability

Has API

API Availability

Has API

Pricing Information

$0.05 per second

Pricing Information

$0
Open weights: free for research, and free for commercial use for companies under $10M ARR

API: usage-based pricing, managed endpoints, no infrastructure overhead

Licensing: full commercial license for on-premise deployment, enterprise support included
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

aistudio.google.com/models/veo-3

Company Facts

Organization Name

Lightricks

Date Founded

2013

Company Location

United States

Company Website

ltx.io

Categories and Features

AI Models

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

Categories and Features

AI Anime Generators

Not specified

AI Models

Not specified

AI Video Editors

LTX is a revolutionary approach to video editing that moves away from conventional timeline-based systems. Instead, it serves as a foundational model for advanced generative video editing applications. With the release of LTX-2.5, users gain access to a desktop application that allows for entirely local processing. One of its standout features is the production-quality reframing tool, which enables users to extend video content beyond its initial borders while maintaining the integrity of composition, motion, and visual elements—ideal for integration within an editing workflow. If your needs revolve around simple cut-and-trim functionality, LTX may not suit you. However, for those interested in incorporating AI-generated visuals, audio, or reframing capabilities into their editing processes using their own hardware, LTX-2.5 offers a versatile open model for development.

Not specified

AI Video Generators

The LTX-2.5 model is capable of creating authentic 4K video at rates of up to 50 frames per second, merging audio and video in a single streamlined process instead of combining them later. This innovative technology is powered by a 22B-parameter dual-stream diffusion transformer that utilizes bidirectional cross-attention between its audio and video components. According to independent evaluations by Artificial Analysis, LTX is recognized as one of the top three AI video models worldwide. Users have the option to download the open weights for local execution, obtain a license for on-premise installation with enterprise-level support, or utilize LTX Studio, a comprehensive production suite designed for creative teams. Notable companies such as ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA are currently harnessing the capabilities of LTX for their video production needs. This model is specifically engineered for AI teams focused on creating dynamic motion and immersive environments within their own workflows, rather than for producing standalone social media clips.

Not specified

AI Video Models

Not specified

Artificial Intelligence

LTX is a pioneering open foundation model designed for video, audio, and world simulation, developed by Lightricks. The latest version, LTX-2.5, features a sophisticated 22 billion-parameter dual-stream diffusion transformer that can produce synchronized audio and video simultaneously, achieving native 4K resolution and up to 50 frames per second. Independent evaluations from Artificial Analysis have placed LTX among the top three AI models in the world for video generation. Unlike proprietary AI solutions, LTX offers open weights, allowing users to download, examine, fine-tune, and deploy the model on their own systems without any restrictions or per-use fees. This versatility makes LTX a valuable resource for enterprises, researchers, developers, and studios looking to integrate advanced video, audio, and simulation features into their products and workflows across various sectors, including entertainment, gaming, robotics, and physical AI.

For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning

Multimedia

LTX is an innovative multimodal foundation model that seamlessly integrates video, audio, and real-world simulations into a unified framework, eliminating the need for disparate tools for each medium. With LTX-2.5, users can generate synchronized audio and video in one go, achieving stunning native 4K resolution while ensuring perfect alignment of sound and visuals without the need for time-consuming post-production adjustments. Thanks to its fully open weights and code, you have the flexibility to customize LTX for your specific audio and visual intellectual property and deploy it on your own hardware. This versatility makes LTX an invaluable asset across various industries, including entertainment production, XR and virtual filmmaking, as well as robotics and simulation, all leveraging the same foundational model for their multimedia workflows.

Not specified

Multimodal Models

Not specified

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