BAGEL logo - Scientific Research brand identity

BAGEL (2026)

Expert Reviewed
by Albert SchaperLast reviewed: Nov 18, 2025

Unifying Vision and Language—Open-Source AI for Images, Text, and Video

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1 reviews
4.0
Favorites
3
Pricing
Starts at $0 / month
Platform
Web App · API

Overview

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 app...

BAGEL Scientific Research showing Scientific Research - Unifying Vision and Language—Open-Source AI for Images, Text, and Vid

Tool Details

Pricing Details
Completely free to download, test, and integrate; no monthly fees or API keys required (open-source).
Estimated Monthly Pricing (USD)
Starts at $0 / month
Min$0 / month
Mid
Max
Free tier available

Monthly Active Users
21K
Global Rank
#1,241,899

Figures above in this panel are rounded for quick orientation. Sign in for exact visits, rank breakdown, and engagement metrics.

Country Rank
Category Rank
Bounce Rate
Pages per Visit
Average Visit Duration

GDPR Compliant
No
NSFW
No
Accessibility
Open Access

Input Formats
Accepts text inputs in plain text or JSON format.
Output Formats
Delivers processed results in JSON format for easy consumption and integration with other systems.
SDKs
Python
JavaScript/TypeScript
Hosting
Global
Supported Languages
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Russian

Company
BAGEL
Country
Last Updated
November 18, 2025

Key Features

Broad platform coverage

Multi-platform support ensures everyone can use BAGEL regardless of their device preference.

Tooling for engineering teams

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Built in the open

Open source means community feedback, transparent security, and rapid iteration.

Expert Insight

Albert Schaper(Artificial Intelligence, AI Tools)

With a 4.0/5 rating from 1 user review, BAGEL receives positive evaluation from Albert Schaper for Scientific Research use cases. Albert Schaper's background in artificial intelligence highlights the tool's value for ai enthusiasts needing artificial intelligence solutions.

Pricing & Plans

Pricing: starts at $0 / month(Updated November 2025)

Completely free to download, test, and integrate; no monthly fees or API keys required (open-source).

Usage Model: API Calls — ensuring you only pay for what you actually use.

The free tier of BAGEL provides ai enthusiasts with a risk-free way to experience scientific research capabilities. Free users get access to fundamental features that are perfect for learning and basic workflows. Paid subscriptions unlock advanced tools, increased capacity, and professional features tailored for ai enthusiasts with complex scientific research needs.

Rate this Tool

4.0 / 5based on 1 rating

User Reviews

4.0

Based on user reviews

Rating Distribution

5
0 (0%)
4
1 (100%)
3
0 (0%)
2
0 (0%)
1
0 (0%)

All Reviews

No reviews yet. Be the first to share your experience!

About BAGEL

Unifying Vision and Language—Open-Source AI for Images, Text, and Video

BAGEL is an open-source scientific research tool developed by BAGEL (US) designed for ai enthusiasts, software developers and content creators. BAGEL is an open-source, scalable, and unified multimodal AI model designed to facilitate AI interaction with complex systems. It aims to provide a comprehensive framework for processing and understanding diverse data types in a cohesive manner. With over 21K monthly visits, BAGEL has established a significant user base. BAGEL follows a free pricing model, with plans free of charge. It is available on Web App, API and Plugin/Integration. Developer integration is supported through Python and JavaScript/TypeScript SDKs. BAGEL offers Global hosting. Explore more scientific research tools or browse all categories.

BAGEL Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Scientific Research
Best fit
AI Enthusiasts, Software Developers, Content Creators +6 more
Platforms
Web App, API, Plugin/Integration
Pricing signal
Free - $0 / month
Provider context
BAGEL - US
Developer access
Python, JavaScript/TypeScript
Data handling
Global hosting
Evidence signals
21K monthly visits, 4.0 rating from 1 reviews, 3 community favorites +1 more

Before you choose BAGEL

  • Confirm BAGEL's current limits, renewal terms, and seat pricing on the official site.
  • Verify privacy, retention, and data-processing terms before using sensitive data.
  • Run a small pilot with your real workflow before adopting it as a core tool.
  • Make sure the supported platform matches where your team actually works.

What to verify

  • Privacy policy, retention terms, and data-processing details should be checked with the provider.
  • Integration depth is unclear; test import/export, API access, or workflow handoff before relying on it.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How BAGEL Works

Understanding the core functionality and approach of BAGEL.

BAGEL unlocks an easy entry point with a free tier and runs on Web App, API, and Plugin/Integration. Teams can pilot workflows without upfront budget and scale on demand. BAGEL ships SDKs for Python and JavaScript/TypeScript alongside Web App, API, and Plugin/Integration apps, so both end-users and developers are covered.

Key Features

Explore what makes BAGEL stand out.

Broad platform coverage

Multi-platform support ensures everyone can use BAGEL regardless of their device preference.

Tooling for engineering teams

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Built in the open

Open source means community feedback, transparent security, and rapid iteration.

Use Cases

Discover how different audiences leverage BAGEL.

Software Developers

Startup-friendly tooling

The free tier means startups can validate ideas before committing budget to tools.

Software Developers

Work from anywhere

BAGEL bridges time zones and locations with async-friendly workflows.

AI Enthusiasts

Ship content faster

BAGEL helps AI Enthusiasts finalize drafts and publish campaigns without waiting for more resources.

FAQ about BAGEL

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 scientific research 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. See also Free vs Paid AI Tools for guidance on choosing the right plan.

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.
Who develops and maintains BAGEL?
BAGEL is developed and maintained by BAGEL, based in US. 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 scientific research 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. Check out our developer guide for more recommendations.

Stay updated with the latest news and insights about BAGEL and the AI industry.

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Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

How to Evaluate BAGEL

Use this page to evaluate BAGEL alongside similar scientific research tools in our alternatives overview. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test BAGEL with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK and JavaScript/TypeScript support. For broader context, browse more scientific research tools for ai enthusiasts, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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