# LabEx.io vs Museum of Models (Rival)

LabEx.io records 1,127,110 monthly visits with -9.3% month-over-month growth and Freemium pricing. Museum of Models (Rival) records 9,187 monthly visits with -35% growth and Free pricing.

| Metric | [LabEx.io](https://openaitools.app/tool/labex-io) | [Museum of Models (Rival)](https://openaitools.app/tool/rival) |
| :--- | :--- | :--- |
| Website URL | https://labex.io | https://rival.tips |
| Categories | AI Chatbot, AI Assistant, Large Language Models (LLMs), AI Code Assistant | AI Models, Large Language Models (LLMs), AI Tools Directory |
| Pricing Model | Freemium | Free |
| Monthly Visits | 1,127,110 | 9,187 |
| MoM Growth Rate | -9.3% | -35% |
| Primary Market | India | United States |
| Direct Visits | 496,136 | 3,663 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## LabEx.io

LabEx takes a "no videos, 100% hands-on" approach to technology education. Courses are organized as skill trees, so instead of jumping between disconnected tutorials you follow a structured path covering Linux, DevOps, cybersecurity, Python, Java, data science, and more. Every step ends with a lab that runs in a real online terminal or cloud virtual machine, giving you the closest thing to production practice without setting up your own server.

The platform pairs those labs with an AI assistant called Labby, powered by ChatGPT, which acts as an always-available tutor for debugging and concept explanations. A large portion of the catalog is free forever, and LabEx also hosts the open-source Linux Journey material for learners just getting started with Linux.

With over a million learners, thousands of skills, and hundreds of hands-on labs, LabEx is aimed at students, career changers, and working engineers who want practical, verifiable skills and certification-oriented practice rather than passive video content.

**Pricing & Plans:** Freemium. A large catalog of labs is free, with no sign-up required for many of them, and the open-source Linux Journey content is always free. Paid plans (with a Pro subscription) unlock the full skill-tree library and premium features. Exact prices are listed on the LabEx pricing page.

- **Skill trees with guided paths:** Choose a structured path — Linux, DevOps, cybersecurity, Python, Docker, Kubernetes and more — and progress lab by lab from fundamentals to advanced topics.
- **Browser-based hands-on labs:** Practice inside real online terminals, pre-configured environments, and cloud virtual machines rather than reading passive tutorials.
- **Labby AI assistant:** An AI chatbot powered by ChatGPT that answers technical questions, explains concepts, and helps debug your code while you learn.
- **Real-world projects:** Apply each skill by building real projects, from containerized apps to automation scripts, that reinforce what you have learned.
- **Certification prep:** Comprehensive practice environments aligned with RHCSA, RHCE, CompTIA, CKA, CKAD, CKS, and LFCS exam objectives.

**Strengths:** Genuinely interactive — you learn by typing commands and building things; Free tier is substantial, including open-source Linux Journey material; Structured skill trees make long learning paths manageable; Labby AI assistant gives instant help when you get stuck

**Limitations:** No live human instructor; learners who need in-person mentorship may find the AI chatbot insufficient; Browser-based labs depend on a stable internet connection; Advanced or niche enterprise topics are not covered as deeply as general Linux and DevOps skills

[Profile (Markdown)](https://openaitools.app/tool/labex-io.md)

## Museum of Models (Rival)

Museum of Models — the project formerly known as Rival — is a free, ad-free archive of how AI models actually answer. Since May 2024, the same 100 questions have been put to every model in the exact same way, once, and every answer has been kept exactly as it was given, including the odd ones and the empty ones. The result is 18,773 answers from 385 models, a record of how each one drew a pelican, built a landing page, told five jokes, or named a favourite city.

The premise is that leaderboards only remember scores. When a lab retires a model and switches it off, its weights often disappear and nobody can ask it anything again. The museum keeps the outputs themselves: 121 of the 385 models featured are no longer served on OpenRouter, yet their drawings, websites, writing and image answers are still here to browse.

Nothing on the site is ranked or scored, and supporting it changes nothing about what it shows. Answers are presented in their native form — drawings as SVG, websites running live in a sandbox, images as pictures, writing as readable pages and voices you can play. Visitors can spin an interactive globe of answers, compare two to four models side by side, sort by release date, lab or question, and step back through a monthly timeline of the museum since it opened. The full collection is downloadable and reusable under CC BY 4.0 with credit.

**Pricing & Plans:** The museum is completely free with no ads. Hosting costs are covered by voluntary donations, such as buying the creator a coffee, and all answer data can be downloaded and reused under CC BY 4.0 with credit.

- **18,773 answers from 385 models:** One hundred identical questions covering drawings, websites, writing, images, code and audio, each answered by every model and kept as given.
- **Retired models preserved:** 121 of the 385 models are no longer served on OpenRouter, yet their answers remain viewable, preserving outputs that would otherwise be lost.
- **Side-by-side comparison:** Add two to four models with a single click and view their answers to the same questions next to each other.
- **Interactive globe and index:** Explore a magnifiable globe of answers, an index sortable by release date, lab or question, a monthly timeline, and a fast command-K search.
- **Live, runnable exhibits:** Generated websites run live in a sandbox, drawings are the model's own SVG, images are shown at 640px, and voices can be played directly.

**Strengths:** Completely free and ad-free, with no login required; Preserves answers from models that have since been retired and switched off; Methodologically consistent: identical prompts, one attempt, documented settings; Open data downloadable under CC BY 4.0 and explorable through globe, index and side-by-side views

[Profile (Markdown)](https://openaitools.app/tool/rival.md)

## Frequently Asked Questions

### How do LabEx.io and Museum of Models (Rival) compare in monthly traffic?

LabEx.io has 1,127,110 monthly visits, while Museum of Models (Rival) has 9,187. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LabEx.io has a month-over-month growth rate of -9.3%; Museum of Models (Rival) has -35%.

### How does pricing compare?

LabEx.io: Freemium. Freemium. A large catalog of labs is free, with no sign-up required for many of them, and the open-source Linux Journey content is always free. Paid plans (with a Pro subscription) unlock the full skill-tree library and premium features. Exact prices are listed on the LabEx pricing page. Museum of Models (Rival): Free. The museum is completely free with no ads. Hosting costs are covered by voluntary donations, such as buying the creator a coffee, and all answer data can be downloaded and reused under CC BY 4.0 with credit.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 2 | [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | +17.8% | Freemium | Offers interactive browser-based coding playgrounds and bite-sized lessons, but focuses more on general programming than dedicated Linux/DevOps labs. | [.md](https://openaitools.app/tool/coddy-tech.md) |
| 3 | [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | -0.4% | Freemium | Specializes in data science and analytics education with interactive coding exercises, omitting broader Linux and DevOps operations. | [.md](https://openaitools.app/tool/datacamp-com.md) |
| 4 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 5 | [Brilliant](https://openaitools.app/tool/brilliant) | 2,426,610 | -11.9% | Freemium | Teaches math, science, and computer science through visual interactive puzzles, but lacks practical terminal environments and Linux labs. | [.md](https://openaitools.app/tool/brilliant.md) |
| 6 | [PromptHero](https://openaitools.app/tool/prompthero) | 1,044,654 | -2.4% | Freemium | Search millions of AI prompts and generate images and videos with every major model | [.md](https://openaitools.app/tool/prompthero.md) |
| 7 | [Design Arena](https://openaitools.app/tool/design-arena) | 949,534 | -13.2% | Free | Crowdsourced arena where AI models compete and humans crown the best design output | [.md](https://openaitools.app/tool/design-arena.md) |
| 8 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 9 | [Vocareum](https://openaitools.app/tool/vocareum-com) | 531,556 | +5.4% | Paid | Provides provisioned cloud lab environments and AI simulations for technical education, catering well to enterprise and academic users. | [.md](https://openaitools.app/tool/vocareum-com.md) |
| 10 | [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | -3.9% | Free | Open-source database of AI models, prices and capabilities | [.md](https://openaitools.app/tool/models-dev.md) |

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Source: https://openaitools.app/compare/labex-io-vs-rival

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
