# Models.dev vs Open Apps

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. Open Apps records 55,880 monthly visits with +6.1% growth and Free pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [Open Apps](https://openaitools.app/tool/open-apps) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://openapps.pro |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Tools Directory, Open Source AI Models |
| Pricing Model | Free | Free |
| Monthly Visits | 200,451 | 55,880 |
| MoM Growth Rate | -3.9% | +6.1% |
| Primary Market | China | France |
| Direct Visits | 136,316 | 22,965 |
| Review Score | 4.4 | 4.3 |
| 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)

## Open Apps

Open Apps is built around a simple complaint: teams pay a recurring "SaaS tax" for tools that open-source projects already cover, but choosing an open-source replacement is risky because maintenance, code quality and dependency problems are hard to assess quickly. Its answer is a scoring system. Every app and package gets three independent ratings — repo health pulled from GitHub signals such as activity, maintenance and momentum; a separate technical score covering architecture, code quality and learning curve; and a dependency-health score that examines staleness, footprint and known vulnerabilities via OSV.dev.

The directory covers roughly 735 curated apps and thousands of packages, and maps 251 commercial SaaS products to open-source alternatives. Categories span developer tools, AI development and AI agents, databases, DevOps, monitoring, analytics, CMS, CRM, project management and more. Each app page links the project to its category and the alternatives it can replace, and the site publishes its methodology so the scoring can be audited and repeated.

Beyond the catalogue, Open Apps runs research reports and an insights section with aggregate data such as total GitHub stars and contributors, a blog of open-source takes, and an optional paid stack-audit service that recommends what a company could migrate and what it would cost. It is an independent project — not affiliated with the vendors listed — funded partly through community support.

**Pricing & Plans:** Free to browse. The app and package directory, category pages, alternatives pages, research reports and blog are all publicly accessible without an account. A separate paid advisory service (stack audit) is available for companies that want a migration roadmap, and the site invites optional coffee donations.

- **Three disclosed scores per app:** Every app and package receives independent repo-health, technical and dependency-health ratings with a published methodology.
- **SaaS alternative mapping:** Browse by the commercial product you want to replace — Notion, Firebase, Vercel, Slack, Salesforce and hundreds more.
- **Broad category coverage:** Developer tools, AI development and agents, databases, DevOps, monitoring, analytics, CMS, CRM, productivity and dozens of other categories.
- **Research and insights:** Original reports plus aggregate data on GitHub stars, contributors and how many SaaS products the catalogue replaces.
- **Stack audit service:** An optional paid engagement that audits a company's software spend and returns a prioritised replacement roadmap.

**Strengths:** Scores are disclosed and methodology is published, unlike star-count rankings; Covers both apps and lower-level packages, including dependency risk; Free to browse with no account required; Includes original research and an optional advisory service

**Limitations:** Selection is curated, so niche or very new projects may not appear; Scores are the site's own model and should be combined with hands-on testing; A bot-check page can appear for automated traffic, which may confuse some visitors

[Profile (Markdown)](https://openaitools.app/tool/open-apps.md)

## Frequently Asked Questions

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

Models.dev has 200,451 monthly visits, while Open Apps has 55,880. 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%; Open Apps has +6.1%.

### 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. Open Apps: Free. Free to browse. The app and package directory, category pages, alternatives pages, research reports and blog are all publicly accessible without an account. A separate paid advisory service (stack audit) is available for companies that want a migration roadmap, and the site invites optional coffee donations.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [WizGenerator](https://openaitools.app/tool/wizgenerator) | 1,799,502 | +181.5% | Free | Innovate freely with a huge library of free AI generators. | [.md](https://openaitools.app/tool/wizgenerator.md) |
| 2 | [Dang.ai](https://openaitools.app/tool/dang-ai) | 552,907 | +17.5% | Free | A curated AI tools directory with 5,000+ listings | [.md](https://openaitools.app/tool/dang-ai.md) |
| 3 | [Futurepedia](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software) | 527,719 | +22.5% | Free | Find, compare, and learn to use the best AI tools | [.md](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software.md) |
| 4 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Search and study millions of public SKILL.md agent skills | [.md](https://openaitools.app/tool/agent-skills-marketplace.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 | [AI Agent Store](https://openaitools.app/tool/ai-agent-store) | 169,388 | -5.4% | Freemium, Free Trial, Paid | Marketplace to find, hire, or build AI agents for real work | [.md](https://openaitools.app/tool/ai-agent-store.md) |
| 7 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) |
| 8 | [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) |
| 9 | [All GPTs](https://openaitools.app/tool/all-gpts) | 32,569 | +9.3% | Free | A curated directory of 30,000+ custom GPTs and AI agents | [.md](https://openaitools.app/tool/all-gpts.md) |
| 10 | [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | +64.9% | Freemium | An editor-reviewed directory of 2,888+ AI tools, dated and marked live or retired | [.md](https://openaitools.app/tool/tooldirectory-ai.md) |

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

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