# InfraBase.ai vs Models.dev InfraBase.ai records 39,072 monthly visits with -13.6% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing. | Metric | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | [Models.dev](https://openaitools.app/tool/models-dev) | | :--- | :--- | :--- | | Website URL | https://infrabase.ai | https://models.dev | | Categories | AI Tools Directory, AI API, AI Developer Tools, Prompt Engineering | AI Models, AI API, Open Source AI Models, AI Tools Directory | | Pricing Model | Free | Free | | Monthly Visits | 39,072 | 200,451 | | MoM Growth Rate | -13.6% | -3.9% | | Primary Market | United States | China | | Direct Visits | 15,992 | 136,316 | | Review Score | 3.8 | 4.4 | | Saved Count | 4 | 0 | | Supported Platforms | Website | Website | ## InfraBase.ai InfraBase.ai exists to solve a specific problem: the AI infrastructure market is crowded, and evaluating it manually is slow. The directory organises products into nine practical categories — inference APIs, agents, frameworks and stacks, audio, media generation, observability and analytics, vector databases, fine-tuning, and prompt engineering — so a team can start from the problem it has rather than from a vendor list. Each listing is hand-verified against the vendor's own documentation and pricing, which matters in a space where marketing pages often lag behind reality. Entries commonly note pricing model, whether a product is open source, and whether EU-based hosting is available, a detail that is decisive for teams with data residency requirements. The site also maintains a dedicated European AI section and a model price comparison view, both aimed at buyers who need to justify a choice rather than just discover one. The directory is free to browse and free to be listed in, and it covers hundreds of tools, models and guides that can be searched from a single field. For teams building an AI stack, it works as a starting point for shortlisting and as a reference for checking what alternatives exist before committing to a vendor. **Pricing & Plans:** Free to browse and free for products to be listed; the directory is supported by optional paid visibility placements. - **Nine infrastructure categories:** Inference APIs, agents, frameworks and stacks, audio, media generation, observability, vector databases, fine-tuning and prompt engineering. - **Hand-verified listings:** Each entry is checked against the vendor's own documentation and pricing rather than copied from marketing copy. - **Pricing and hosting detail:** Listings surface pricing model, open-source status and EU hosting availability so regional and budget constraints can be checked early. - **European AI focus:** A dedicated section highlights European providers and data-sovereignty-friendly options. - **Search across hundreds of entries:** One search field covers tools, model prices and guides, making shortlisting faster than browsing vendor sites one by one. **Strengths:** Categories map to real engineering problems rather than vendor marketing segments; Listings are verified against vendor docs and pricing; Explicitly flags pricing model and EU hosting availability; Free to browse with no account required **Limitations:** It is a directory, so it does not offer hands-on benchmarks of its own; Coverage depends on submissions and editorial review, so niche tools may be missing; Paid placements mean sponsored slots appear alongside editorial listings [Profile (Markdown)](https://openaitools.app/tool/infrabase-ai.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 InfraBase.ai and Models.dev compare in monthly traffic? InfraBase.ai has 39,072 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? InfraBase.ai has a month-over-month growth rate of -13.6%; Models.dev has -3.9%. ### How does pricing compare? InfraBase.ai: Free. Free to browse and free for products to be listed; the directory is supported by optional paid visibility placements. 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 | [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) | | 2 | [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) | | 3 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.md) | | 4 | [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) | | 5 | [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) | | 6 | [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | +3.2% | Free | A curated directory of thousands of AI tools, updated daily. | [.md](https://openaitools.app/tool/toolcenter.md) | | 7 | [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) | | 8 | [AI Parabellum](https://openaitools.app/tool/ai-parabellum) | 24,100 | +42.6% | Free | Discover AI tools and keep up with daily AI news | [.md](https://openaitools.app/tool/ai-parabellum.md) | | 9 | [Listmyai](https://openaitools.app/tool/listmyai) | 19,827 | -28.5% | Free | Discover, bookmark, and get AI-powered recommendations for the best AI tools | [.md](https://openaitools.app/tool/listmyai.md) | | 10 | [BasedTools](https://openaitools.app/tool/basedtools) | 17,641 | +73.7% | Free | A curated directory and search engine for discovering AI tools and products | [.md](https://openaitools.app/tool/basedtools.md) | --- Source: https://openaitools.app/compare/infrabase-ai-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)