What is BAGEL and what does it do?
BAGEL is Unifying Vision and Language—Open-Source AI for Images, Text, and Video. BAGEL is an open-source unified multimodal AI model developed by ByteDance, capable of understanding and generating images, text, and video. Core functions include high-fidelity image generation, editing, and advanced visual reasoning. It supports chain-of-thought reasoning and world modeling, making it suitable for creative, analytical, and technical applications. BAGEL is designed for AI researchers, developers, and content creators, and adopts the Apache 2.0 license for free commercial use. Available on Web App, API, Plugin/Integration, BAGEL is designed to enhance productivity and deliver professional-grade conversational ai capabilities.
How much does BAGEL cost?
BAGEL offers Free pricing options. Completely free to download, test, and integrate; no monthly fees or API keys required (open-source). Current estimates suggest pricing from Starts at $0 / month. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official BAGEL pricing page or contact their sales team for custom enterprise quotes.
What platforms does BAGEL support?
BAGEL is available on Web App, API, Plugin/Integration. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate BAGEL capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use BAGEL wherever and however you work best.
How can I try BAGEL before purchasing?
A free plan is available with core functionality, perfect for individual users or small projects. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Russian makes it accessible to global users.
What file formats does BAGEL support?
BAGEL accepts Accepts text inputs in plain text or JSON format. as input formats, making it compatible with your existing files and workflows. Output is delivered in Delivers processed results in JSON format for easy consumption and integration with other systems., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines. Whether you're importing data, exporting results, or chaining multiple tools together, BAGEL handles format conversions efficiently without manual intervention.
Who develops and maintains BAGEL?
BAGEL is developed and maintained by BAGEL, based in United States. Most recently updated in November 2025, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures BAGEL stays competitive and aligned with industry best practices.
How do I get access to BAGEL?
BAGEL is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in BAGEL?
BAGEL uses API Calls as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does BAGEL offer?
BAGEL supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is BAGEL best suited for?
BAGEL is primarily designed for AI Enthusiasts, Software Developers, Content Creators and Marketing Professionals. Professionals in conversational ai find it invaluable for streamlining their daily tasks. Whether you need automation, creative assistance, data analysis, or communication support, BAGEL provides valuable capabilities for multiple use cases and skill levels.
Does BAGEL offer APIs or SDKs?
Yes, BAGEL provides SDK support for Python, JavaScript/TypeScript. This enables developers to integrate the tool's capabilities into custom applications.
Is BAGEL open source?
Yes, BAGEL is open source, meaning the source code is publicly available for inspection, modification, and contribution. This transparency allows developers to verify security practices, customize functionality for specific needs, and contribute improvements back to the community. Open source projects often benefit from rapid innovation and community-driven development. BAGEL maintains the project while welcoming community contributions. You can self-host the solution for complete control over your data and deployment environment.
Does BAGEL receive regular updates?
BAGEL is actively maintained with regular updates to improve features, security, and performance. BAGEL continuously develops the platform based on user feedback and industry advancements. Updates typically include new AI capabilities, interface improvements, bug fixes, and security patches. Staying up-to-date ensures you benefit from the latest AI advancements and best practices in conversational ai.
What do users say about BAGEL?
BAGEL has received 1 user review with an average rating of 4.0 out of 5 stars. This solid rating indicates the tool meets or exceeds most users' expectations across various use cases. Additionally, BAGEL has received 3 upvotes from the community, indicating strong interest and recommendation. Reading detailed reviews helps you understand real-world performance, common use cases, and potential limitations before committing to the platform.
Is the information about BAGEL up-to-date and verified?
Yes, BAGEL's listing was last verified within the past quarter by our editorial team. We regularly review and update tool information to maintain accuracy. Our verification process checks pricing accuracy, feature availability, platform support, and official links. If you notice outdated information, you can submit corrections through our community contribution system to help keep the directory current and reliable for all users.
How does BAGEL compare to other Conversational AI tools?
BAGEL distinguishes itself in the Conversational AI category through accessible pricing options that lower the barrier to entry. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.
How difficult is it to learn BAGEL?
The learning curve for BAGEL varies depending on your experience level and use case complexity. Most users report becoming productive within a few days depending on their background. BAGEL balances powerful capabilities with intuitive interfaces to minimize the time from signup to value delivery.
How often is BAGEL updated with new features?
BAGEL was most recently updated in November 2025, demonstrating active ongoing development. BAGEL maintains a development roadmap informed by user feedback and market trends. Regular updates typically include performance optimizations, bug fixes, security patches, and new capabilities that expand the tool's functionality. This frequent update cadence ensures the platform stays current with rapidly evolving AI technologies.
Is BAGEL a reliable long-term choice?
When evaluating BAGEL for long-term use, consider several indicators: Development by BAGEL provides organizational backing and accountability. Growing community interest indicates positive momentum. High user satisfaction ratings suggest the platform delivers on its promises. Recent updates demonstrate active maintenance and feature development. The open-source nature reduces vendor lock-in risks and enables community-driven continuity. Consider your specific requirements, budget constraints, and risk tolerance when making long-term platform commitments.
