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Bagel

Bagel is an open-source unified multimodal AI model that handles visual understanding, generation, and editing in a single system, aimed at developers and researchers.

Tags
ai-image-generatorArtificial IntelligenceAI API
Last Updated Nov 10, 2026
Bagel screenshot

About

Bagel is an open-source unified multimodal AI model designed to combine visual understanding, image generation, and image editing within a single system. Rather than relying on separate specialized models for each task, Bagel aims to let developers and researchers work with one model that interprets images, produces new ones, and modifies existing ones.

The project's official site describes it as "The Open-Source Unified Multimodal Model," which positions it alongside other publicly released foundation models intended for community use and experimentation. Because the code and weights are open, users can inspect how the model works, adapt it to their own applications, and run it locally where feasible. This makes Bagel a candidate for teams building multimodal applications who want flexibility rather than a closed, API-only service.

Key Features

Unified multimodal architecture: A single model is intended to cover visual understanding, generation, and editing, reducing the need to chain together multiple tools.
Open-source release: The project is published as an open-source model, allowing developers to study, modify, and deploy it under the terms of its license.
Visual understanding: The model is built to interpret and describe visual input, supporting tasks that require reading information from images.
Image generation: Bagel can produce images, enabling text-to-image workflows for creative and prototyping purposes.
Image editing: The model is designed to modify existing images according to instructions, complementing its understanding and generation abilities.
Self-hosting potential: As an open-source model, it can be run on the user's own infrastructure rather than only through a hosted service, subject to hardware requirements.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Open availability: The model is presented as open source on its official site at bagel-ai.org.
  • Scope limitation: The public pages reviewed provide only a high-level description; detailed technical specifications, benchmark results, and license terms should be confirmed on the official site or its code repository.

Who It's For

Bagel is aimed primarily at AI developers and machine-learning researchers who want an open-source multimodal model for image understanding, generation, and editing. It suits open-source contributors experimenting with foundation models, computer vision engineers prototyping applications that combine multiple visual tasks, and teams that prefer self-hosted models over commercial APIs. Hobbyists with suitable hardware may also explore it for local image generation and editing experiments.

FAQ

What is Bagel?Bagel is an open-source unified multimodal AI model that combines visual understanding, image generation, and image editing in a single system.

Is Bagel free to use?The model is presented as open source, but detailed pricing or hosting terms were not publicly listed on the pages we reviewed; check the official site for current information.

What can Bagel do?According to its official description, it handles visual understanding, image generation, and image editing tasks within one model.

Can Bagel be self-hosted?As an open-source model, it is intended to be inspectable and deployable by users, though hardware requirements and license terms should be verified on the official site.

Where can I find more details about Bagel?The official site at bagel-ai.org is the primary source; detailed documentation and technical specifics should be confirmed there.