Marengo

Marengo

TwelveLabs
ModelScope

ModelScope

Alibaba Cloud
+
+

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About

Marengo is a multimodal video foundation model that transforms video, audio, image, and text inputs into unified embeddings, enabling powerful “any-to-any” search, retrieval, classification, and analysis across vast video and multimedia libraries. It integrates visual frames (with spatial and temporal dynamics), audio (speech, ambient sound, music), and textual content (subtitles, overlays, metadata) to create a rich, multidimensional representation of each media item. With this embedding architecture, Marengo supports robust tasks such as search (text-to-video, image-to-video, video-to-audio, etc.), semantic content discovery, anomaly detection, hybrid search, clustering, and similarity-based recommendation. The latest versions introduce multi-vector embeddings, separating representations for appearance, motion, and audio/text features, which significantly improve precision and context awareness, especially for complex or long-form content.

About

This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Media companies, AI researchers, and platforms searching for a tool to build smart search engines, content discovery tools, recommendation systems, or video-analysis workflows

Audience

Users interested in an open source text-to-video AI video generation model

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.042 per minute
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

TwelveLabs
Founded: 2021
United States
www.twelvelabs.io/product/models-overview#marengo

Company Information

Alibaba Cloud
China
modelscope.cn/

Alternatives

FLUX 3

FLUX 3

Black Forest Labs

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VideoPoet

VideoPoet

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Kaggle

Kaggle

Google
MiniMax H3

MiniMax H3

MiniMax

Categories

AI Models Supported
AI Video Models Supported

Categories

AI Gateways Supported
AI Inference Supported
AI Tools Supported

Integrations

CodeQwen Not Supported
Qwen Not Supported
Qwen 4 Not Supported
Qwen-7B Not Supported
Qwen-Image Not Supported
Qwen2 Not Supported
Qwen2-VL Not Supported
Qwen2.5-1M Not Supported
Qwen2.5-Coder Not Supported
Qwen2.5-VL Not Supported
Qwen3 Not Supported
Qwen3.6-35B-A3B Not Supported
Qwen3.7-Max Not Supported
Qwen3.7-Plus Not Supported
Qwen3.8-2.4T-A95B Not Supported
Qwen3.8-Omni-Flash Not Supported
Step 3.5 Flash Not Supported
Step 5 Preview Not Supported
TwelveLabs Supported
Yi-Large Not Supported

Integrations

CodeQwen Supported
Qwen Supported
Qwen 4 Supported
Qwen-7B Supported
Qwen-Image Supported
Qwen2 Supported
Qwen2-VL Supported
Qwen2.5-1M Supported
Qwen2.5-Coder Supported
Qwen2.5-VL Supported
Qwen3 Supported
Qwen3.6-35B-A3B Supported
Qwen3.7-Max Supported
Qwen3.7-Plus Supported
Qwen3.8-2.4T-A95B Supported
Qwen3.8-Omni-Flash Supported
Step 3.5 Flash Supported
Step 5 Preview Supported
TwelveLabs Not Supported
Yi-Large Supported
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