# Models.dev vs OpenAI Academy

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. OpenAI Academy records 937,379 monthly visits with -6.3% growth and Free pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [OpenAI Academy](https://openaitools.app/tool/openai-academy) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://academy.openai.com |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Course, AI Tutorial, AI Chatbot |
| Pricing Model | Free | Free |
| Monthly Visits | 200,451 | 937,379 |
| MoM Growth Rate | -3.9% | -6.3% |
| Primary Market | China | United States |
| Direct Visits | 136,316 | 451,513 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## 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)

## OpenAI Academy

OpenAI Academy is the official education arm of OpenAI, built as a free resource hub for anyone who wants to move from casual AI usage to confident, repeatable practice. The site organizes learning into role-based tracks: "Apply AI at Work" for general knowledge workers, "Build with AI" for developers working with Codex or the OpenAI API, "Lead AI Adoption" for managers drafting real AI strategy, and "Teach and learn with AI" for educators and students.

Learning at the Academy blends self-paced course material with a busy live calendar. Upcoming sessions span in-person workshops in cities such as St. Louis, Dallas and Nashville, livestreams like ChatGPT 101 for Government Professionals, and virtual office hours such as the AI Skills Jam for K-12 educators. Replays and recordings are posted for people who cannot attend live, and content is tagged by audience — government, nonprofits, small business, education — so it stays relevant.

Beyond course content, the Academy hosts communities and a Stories section that showcases how real people and organizations apply AI. Because it is run directly by OpenAI, course material tracks the company's own product roadmap and best-practice guidance rather than third-party commentary. There is no cost to join and no paid tier, making it one of the most accessible entry points into structured AI literacy.

**Pricing & Plans:** Free. OpenAI Academy is a no-cost learning resource — joining, taking courses, attending live events and watching replays do not require payment or a credit card.

- **Role-based learning tracks:** Curated course paths for knowledge workers on applying AI at work, developers building with Codex and the OpenAI API, leaders planning AI adoption, and educators bringing AI into the classroom.
- **Live and on-demand events:** A rolling calendar of in-person workshops, livestream sessions and past recordings, covering topics from ChatGPT basics for government staff to advanced Codex automation.
- **Communities and networking:** Community spaces connect learners with peers and practitioners working on similar AI problems, so best practices spread beyond the course materials.
- **Stories and real-world case studies:** Short features show how individuals, nonprofits and businesses use AI in practice, giving concrete examples rather than abstract theory.
- **Audiience-specific content hubs:** Dedicated sections for education, small business, nonprofits, government and news organizations keep guidance aligned with each sector's constraints and compliance needs.

**Strengths:** Completely free with no paywall or credit card requirement; Content authored and maintained by OpenAI, so it matches current product behaviour; Broad mix of formats — self-paced courses, live workshops, livestreams and replays; Role-based tracks mean the material is relevant whether you code, manage or teach

**Limitations:** Heavily centred on OpenAI products, so it is not vendor-neutral AI training; Many events are scheduled in specific time zones or cities, which can limit live attendance; Advanced material assumes some prior familiarity with AI concepts

[Profile (Markdown)](https://openaitools.app/tool/openai-academy.md)

## Frequently Asked Questions

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

Models.dev has 200,451 monthly visits, while OpenAI Academy has 937,379. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Models.dev has a month-over-month growth rate of -3.9%; OpenAI Academy has -6.3%.

### How does pricing compare?

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. OpenAI Academy: Free. Free. OpenAI Academy is a no-cost learning resource — joining, taking courses, attending live events and watching replays do not require payment or a credit card.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | Delivers rigorous professional AI engineering courses and certifications by Andrew Ng, but lacks OpenAI's official product focus. | [.md](https://openaitools.app/tool/deeplearning-ai.md) |
| 2 | [Futurepedia](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software) | 527,719 | +22.5% | Free | Maintains a massive directory of AI tools and workflow guides, but functions more as a discovery portal than structured courses. | [.md](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software.md) |
| 3 | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | 431,529 | -39.7% | Free | Hosts active AI hackathons and hands-on community building events, but is less structured for foundational academic coursework. | [.md](https://openaitools.app/tool/lablab-ai.md) |
| 4 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Provides deep open-source coding education for deep learning, but requires much stronger Python programming prerequisites than introductory hubs. | [.md](https://openaitools.app/tool/fast-ai.md) |
| 5 | [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) |
| 6 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Offers comprehensive open-source guides specifically for prompt engineering, but does not cover general AI application development. | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 7 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) |
| 8 | [AIToolGo](https://openaitools.app/tool/aitoolgo) | 85,066 | +11.8% | Free | Discover AI tools and learn AI fundamentals in one searchable hub | [.md](https://openaitools.app/tool/aitoolgo.md) |
| 9 | [The Full Stack (fullstackdeeplearning.com)](https://openaitools.app/tool/fullstackdeeplearning-com) | 46,082 | +6.6% | Free (educational content) | Teaches production-grade machine learning application engineering, but focuses on advanced engineering rather than beginner AI literacy. | [.md](https://openaitools.app/tool/fullstackdeeplearning-com.md) |
| 10 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables. | [.md](https://openaitools.app/tool/infrabase-ai.md) |

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

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