# MEGATEK.AI vs Models.dev

MEGATEK.AI records 78,552 monthly visits with +46.5% month-over-month growth and Free, Paid pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [MEGATEK.AI](https://openaitools.app/tool/megatek-ai) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://megatek.ai | https://models.dev |
| Categories | AI Tools Directory, AI Advertising | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Free, Paid | Free |
| Monthly Visits | 78,552 | 200,451 |
| MoM Growth Rate | +46.5% | -3.9% |
| Primary Market | Vietnam | China |
| Direct Visits | 23,890 | 136,316 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## MEGATEK.AI

MEGATEK.AI positions itself as a global AI ecosystem database rather than a plain tools list. Instead of only indexing apps, it organises the AI landscape into fourteen content types grouped under three themes: Connect (people, organizations, communities and events), Build (software, APIs, datasets, benchmarks, models and prompt libraries) and Learn (courses and training, books, podcasts, newsletters, blogs, regulations and standards). The idea is that someone researching AI can find the humans, the infrastructure and the explaining material in one reference, not just product landing pages.

Its defining feature is language reach. The same catalogue is published across roughly one hundred locales, including major languages such as English, Français, Español, Deutsch, 简体中文, 日本語 and 한국어, plus many less commonly served ones such as Yorùbá, Igbo, isiZulu, Kiswahili, हिन्दी, العربية, မြန်မာဘာသာ and Te Reo Māori. Each locale is reachable at its own path, so browsing, discovery and submission can happen in a visitor's own language — a useful angle for founders whose tools serve regional markets that global directories typically overlook.

MEGATEK.AI is an independent, third-party platform; it is not affiliated with, endorsed by, or operated by any of the vendors listed on it. Directory accuracy therefore depends on submissions from creators and maintainers, and it is always worth confirming pricing, features and availability on the vendor's own website before making a decision. For tool owners, a single submission form is the entry point, with an affiliate programme available for sites that want to refer traffic.

**Pricing & Plans:** Browsing the MEGATEK.AI database is free. Listing a tool is handled through a public submission form, and the site also runs an affiliate programme for referring traffic. Any paid placement or promotional terms are presented during submission, so no fixed price is quoted here.

- **14 AI content types:** Fourteen entry types cover the people and organizations behind AI as well as the software, APIs, datasets, models, benchmarks and prompt libraries used to build with it.
- **Roughly 100 language editions:** The catalogue is published in roughly one hundred languages, from widely used ones like English, Hindi and Arabic to under-served ones like Yorùbá, isiZulu and Māori.
- **Learning and standards coverage:** Learning resources are catalogued alongside tools, including courses and training, books, podcasts, newsletters, blogs, and regulations and standards.
- **Submit and affiliate flow:** A single public submission form lets creators add their software, model, dataset or API, with an affiliate programme for referring traffic.
- **Constantly updated listings:** Entries are frequently added through a continuously updated database, and visitors can log in to keep track of what they follow.

**Strengths:** Extremely broad coverage with fourteen entry types beyond simple tool listings; About one hundred language editions make it unusually accessible for non-English and regional audiences; Groups both technical assets and learning material in one searchable reference; Free to browse with a straightforward public submission form

[Profile (Markdown)](https://openaitools.app/tool/megatek-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 MEGATEK.AI and Models.dev compare in monthly traffic?

MEGATEK.AI has 78,552 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

MEGATEK.AI has a month-over-month growth rate of +46.5%; Models.dev has -3.9%.

### How does pricing compare?

MEGATEK.AI: Free, Paid. Browsing the MEGATEK.AI database is free. Listing a tool is handled through a public submission form, and the site also runs an affiliate programme for referring traffic. Any paid placement or promotional terms are presented during submission, so no fixed price is quoted here. 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 | [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) |
| 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 | [AI Directories](https://openaitools.app/tool/ai-directories) | 133,011 | -6.9% | Paid | Hand-submitted listings across 100+ AI directories for backlinks and visibility | [.md](https://openaitools.app/tool/ai-directories.md) |
| 6 | [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) |
| 7 | [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) |
| 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 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/megatek-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)