# AIToolGo vs Models.dev AIToolGo records 85,066 monthly visits with +11.8% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing. | Metric | [AIToolGo](https://openaitools.app/tool/aitoolgo) | [Models.dev](https://openaitools.app/tool/models-dev) | | :--- | :--- | :--- | | Website URL | https://www.aitoolgo.com | https://models.dev | | Categories | AI Tools Directory, AI Search Engine, AI Tutorial, AI Course | AI Models, AI API, Open Source AI Models, AI Tools Directory | | Pricing Model | Free | Free | | Monthly Visits | 85,066 | 200,451 | | MoM Growth Rate | +11.8% | -3.9% | | Primary Market | Japan | China | | Direct Visits | 8,060 | 136,316 | | Review Score | 3.8 | 4.4 | | Saved Count | 3 | 0 | | Supported Platforms | Website | Website | ## AIToolGo AIToolGo organizes the sprawling AI tool market into browsable domains such as Marketing, Education and Training, Information Technology, Design and Creativity, Customer Service, Sales, Management, Finance, Legal, and Human Resources. Inside each domain, visitors filter by task — AI image generation, text-to-speech, CRM, code review, transcription, prompting and dozens more — so a specific job-to-be-done is only a couple of clicks away. Beyond cataloging, the platform works as a learning destination. Tool listings sit next to tutorials, courses and explainer content aimed at people who are new to AI or want structured guidance, and a built-in AI search assistant accepts everyday questions and recommends suitable products instead of requiring keyword guessing. That blend of discovery and education is what distinguishes it from a plain link list. Submissions are open to makers, and every entry carries a short description plus domain and task tags that keep the index current and navigable. The site is free to browse and does not require an account for basic exploration, which makes it a convenient first stop when scoping the AI landscape. **Pricing & Plans:** Free to use. Browsing the directory, learning resources and the AI search assistant costs nothing; paid tiers may exist for tool makers who want promoted placement. - **Multi-domain AI tool directory:** Thousands of AI products organized by industry domain and by task, with short descriptions and tags so you can narrow down quickly. - **AI search assistant:** Ask a natural-language question about what you want to accomplish and get suggested tools and explanations instead of raw keyword results. - **Tutorials and courses:** Curated learning material that explains AI concepts and shows how to apply popular tools in real workflows. - **Task-based filtering:** Filter the catalog by concrete jobs such as AI video generation, background removal, code completion, or lead generation. - **Open tool submissions:** Builders can submit new tools for inclusion, keeping the index growing and reasonably current. **Strengths:** Free to browse with a very broad multi-domain catalog; AI search assistant turns vague intent into concrete tool suggestions; Pairing discovery with tutorials helps non-experts make better choices; Open submissions keep newly launched tools represented **Limitations:** Directory listings are descriptive rather than independently benchmarked; Tool quality varies widely and descriptions can go stale; No hands-on trials or side-by-side performance comparisons on site [Profile (Markdown)](https://openaitools.app/tool/aitoolgo.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 AIToolGo and Models.dev compare in monthly traffic? AIToolGo has 85,066 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? AIToolGo has a month-over-month growth rate of +11.8%; Models.dev has -3.9%. ### How does pricing compare? AIToolGo: Free. Free to use. Browsing the directory, learning resources and the AI search assistant costs nothing; paid tiers may exist for tool makers who want promoted placement. 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 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.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 | [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 | [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) | | 8 | [Nextool](https://openaitools.app/tool/nextool) | 26,866 | -28.8% | Free | Find the best AI tools without the endless searching | [.md](https://openaitools.app/tool/nextool.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 | [ManyTools](https://openaitools.app/tool/manytools) | 18,763 | -46.1% | Free | A curated web-tool directory sorted by Google reach, not by who pays | [.md](https://openaitools.app/tool/manytools.md) | --- Source: https://openaitools.app/compare/aitoolgo-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)