# Brilliant vs Models.dev

Brilliant records 2,426,610 monthly visits with -11.9% month-over-month growth and Freemium pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Brilliant](https://openaitools.app/tool/brilliant) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://brilliant.org | https://models.dev |
| Categories | AI Course, AI Tutorial, AI For Data Analytics | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Freemium | Free |
| Monthly Visits | 2,426,610 | 200,451 |
| MoM Growth Rate | -11.9% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 1,204,931 | 136,316 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Brilliant

Brilliant takes a different approach to learning: rather than watching long videos or reading dense textbooks, you build understanding by solving interactive problems. Lessons break big ideas down into small visual steps, so concepts in algebra, calculus, statistics, logic and Python become intuitive. The platform is designed for self-paced learners from roughly middle-school level up to college and beyond, and it adds a new AI tutor called Koji who asks guiding questions and sketches on screen to help you find answers yourself.

Beyond pure math, Brilliant covers computer science fundamentals, programming, data analysis and how modern AI actually works, including neural networks, tokenization and model reasoning. Each track uses mastery assessments that adapt to your level, revisiting weak spots and serving targeted practice so progress is measurable rather than vague. Real-world examples, such as image filters or password security, connect abstract ideas to everyday technology.

The platform is also used by schools and families. It is accredited by ACS WASC, certified under the kidSAFE/COPPA program, and offers classroom and teacher programs so educators can assign adaptive lessons and homework. For individual learners, the app is available on web and mobile, with progress syncing across devices.

**Pricing & Plans:** Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans.

- **Interactive problem-based lessons:** Learn math, science, CS and AI through short, visual exercises that build intuition step by step rather than passive video watching.
- **Koji AI tutor:** A visual, interactive tutor that works on a shared canvas, asks guiding questions and gives hints without simply revealing the answer.
- **Adaptive mastery assessments:** Quizzes and reviews adapt to your level, tracking what you have mastered and resurfacing topics that still need work.
- **Coding and CS foundations:** Write and run real code to learn programming logic, algorithms, data structures and debugging skills relevant to the AI era.
- **Courses for schools and families:** Accredited classroom programs let teachers assign adaptive lessons, with kidSAFE/COPPA-certified privacy protections.

**Strengths:** Hands-on, visual format makes abstract concepts easier to grasp; Access to the Koji AI tutor that guides rather than gives away answers; Accredited and kidSAFE/COPPA certified, suitable for schools and families; Works across web and mobile with syncing progress

**Limitations:** Full course library requires a paid Premium subscription; Not a replacement for formal instruction or credentials; Some advanced or niche topics are not covered deeply

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

## Models.dev

Models.dev exists to answer a very practical developer question: which model should I use, and what will it cost? The site organises every entry under a canonical identifier in the form provider/model, so the same model served by several providers can be compared directly rather than guessed at. Columns cover context window, maximum output, whether input and output are supported, reasoning, tool calling, structured output, temperature control, open versus closed weights, price per million tokens, and release and update dates.

Because model releases move fast, the catalogue is built to stay current, with sortable and searchable tables that let you scan by lab or provider and filter down to what matters. Entries include both closed flagship models and open-weight alternatives, making it useful for cost planning as well as capability research.

The project is open source and free to use, and it is intended to be consumed programmatically. Developers can pull the catalogue into their own tooling through a JSON API or a type-safe SDK, which makes it a practical backend for dashboards, routing logic, or internal cost calculators rather than just a reference page to browse.

**Pricing & Plans:** Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

- **Canonical model identifiers:** Every model uses a consistent provider/model format so the same model across providers can be compared directly.
- **Specification comparison:** Side-by-side context window, output limit, reasoning, tool calling, structured output, and temperature support.
- **Pricing transparency:** Input and output prices per million tokens listed alongside release and update dates.
- **Open and closed models:** Covers closed flagship APIs and open-weight models from many labs in one sortable catalogue.
- **Developer access:** Consume the catalogue through a JSON API or a type-safe SDK for your own tools and dashboards.

**Strengths:** Free and open source with no account required; Consistent canonical identifiers make cross-provider comparison reliable; Covers pricing, limits, and capabilities in one sortable table; Available as a JSON API and type-safe SDK for programmatic use

**Limitations:** It is a reference catalogue, not an inference or hosting service; Data quality depends on community and maintainer updates keeping pace with releases; Interface is aimed at developers and offers little guidance for non-technical users

[Profile (Markdown)](https://openaitools.app/tool/models-dev.md)

## Frequently Asked Questions

### How do Brilliant and Models.dev compare in monthly traffic?

Brilliant has 2,426,610 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Brilliant has a month-over-month growth rate of -11.9%; Models.dev has -3.9%.

### How does pricing compare?

Brilliant: Freemium. Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans. Models.dev: Free. Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | +17.8% | Freemium | Focuses specifically on interactive programming and coding lessons, whereas Brilliant covers broad STEM and math concepts. | [.md](https://openaitools.app/tool/coddy-tech.md) |
| 2 | [Astra AI](https://openaitools.app/tool/astra-ai) | 7,356,157 | +40.3% | Freemium, Paid | Your personal AI tutor for every subject, from notes to exam day. | [.md](https://openaitools.app/tool/astra-ai.md) |
| 3 | [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | -0.4% | Freemium | Provides deep interactive training for data science and programming, but omits foundational math and general science topics. | [.md](https://openaitools.app/tool/datacamp-com.md) |
| 4 | [Up Learn](https://openaitools.app/tool/uplearn-co-uk) | 1,346,342 | +49.9% | Free Trial, Paid | AI-powered A Level and GCSE courses with a top-grades-or-refund guarantee | [.md](https://openaitools.app/tool/uplearn-co-uk.md) |
| 5 | [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | -9.3% | Freemium | Learn Linux, DevOps, and cybersecurity by doing — inside real online labs. | [.md](https://openaitools.app/tool/labex-io.md) |
| 6 | [Gauth](https://openaitools.app/tool/gauth) | 619,147 | +180.7% | Free Trial | Excels at step-by-step homework solving and AI tutoring, but provides less structured visual concept-building courses. | [.md](https://openaitools.app/tool/gauth.md) |
| 7 | [Smartick](https://openaitools.app/tool/smartick-es) | 361,154 | -9.1% | Free Trial, Paid | Provides adaptive daily math and logic practice for children, but has less emphasis on advanced visual science lessons. | [.md](https://openaitools.app/tool/smartick-es.md) |
| 8 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs. | [.md](https://openaitools.app/tool/stork.md) |
| 9 | [Khanmigo](https://openaitools.app/tool/khanmigo-ai) | 143,218 | -25.2% | Freemium, Paid | Offers Socratic AI tutoring and problem guidance, but lacks Brilliant's signature interactive visual math and science puzzles. | [.md](https://openaitools.app/tool/khanmigo-ai.md) |
| 10 | [Synthesis Tutor](https://openaitools.app/tool/synthesis-com) | 130,472 | -8.7% | Free Trial, Paid | Delivers gamified adaptive math tutoring for younger learners, whereas Brilliant caters to a broader, more advanced audience. | [.md](https://openaitools.app/tool/synthesis-com.md) |

---
Source: https://openaitools.app/compare/brilliant-vs-models-dev

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