# AI Grant vs Models.dev

AI Grant records 4,032 monthly visits with -31.2% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [AI Grant](https://openaitools.app/tool/aigrant-org) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://aigrant.org | https://models.dev |
| Categories | Open Source AI Models, AI Developer Tools, AI Research Papers, AI Models | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Free | Free |
| Monthly Visits | 4,032 | 200,451 |
| MoM Growth Rate | -31.2% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 1,245 | 136,316 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## AI Grant

AI Grant is a grant-giving initiative focused on the open source side of artificial intelligence. Rather than investing in companies for equity, it hands out individual awards between $5,000 and $50,000 to people building freely available tools, datasets, libraries and research artifacts. Funding can arrive as cash, as compute credits, or as a mix of the two, depending on what the recipient needs most.

Over the years the program has supported a wide range of work: a Python binding for the llama.cpp inference engine, the GGUF model file format that became a de facto standard for local model distribution, fast cross-platform deep learning libraries for the browser, datasets for sound event research, tools for simulating quantum systems and gravitational lensing, medical imaging work such as stroke scan interpretation and child abuse detection in X-rays, and many smaller research and infrastructure efforts. This breadth reflects the program's interest in useful, reusable building blocks rather than a single vertical.

AI Grant was founded in 2017 by Nat Friedman and Daniel Gross. Note that aigrant.org handles the grant program for open source projects, while the founders' separate accelerator for AI startups lives at aigrant.com. AI Grant operates as an independent organization and is not affiliated with OpenAI, Google or any other model provider named in project descriptions.

**Pricing & Plans:** Not a paid product. AI Grant awards $5,000 to $50,000 per project in cash or compute credits, with no equity and no obligations attached to the funding.

- **Cash or compute awards:** Grants range from $5,000 to $50,000 and can be paid out as money, compute credits, or a combination of both.
- **Open source focus:** Funding targets openly licensed libraries, datasets, formats, research tools and infrastructure that others can build on.
- **No equity, no strings:** Recipients keep full ownership of their work; the program does not take equity or impose commercial obligations.
- **Broad technical scope:** Past grants span inference engines, model formats, browser deep learning, medical imaging, art generation and quantum simulation.
- **Published recipient list:** The site lists current and prior grants with links to papers, videos and repositories so progress is publicly visible.

**Strengths:** Awards carry no equity requirement or commercial obligations; Funding can be taken as compute when that is more useful than cash; Public recipient list with links to papers, videos and repositories; Supports a broad range of open source AI infrastructure and research

**Limitations:** No published application form or eligibility checklist on the site; Award amounts are modest compared with venture funding for larger teams; Grant timelines and selection criteria are not documented publicly

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

AI Grant has 4,032 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AI Grant has a month-over-month growth rate of -31.2%; Models.dev has -3.9%.

### How does pricing compare?

AI Grant: Free. Not a paid product. AI Grant awards $5,000 to $50,000 per project in cash or compute credits, with no equity and no obligations attached to the funding. 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 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Free practical deep learning courses, research and open-source libraries | [.md](https://openaitools.app/tool/fast-ai.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Open Apps](https://openaitools.app/tool/open-apps) | 55,880 | +6.1% | Free | Independently scored open-source alternatives to paid SaaS | [.md](https://openaitools.app/tool/open-apps.md) |
| 6 | [huntr](https://openaitools.app/tool/huntr-com) | 45,283 | -61.9% | Free | The bug bounty platform built for AI and ML security | [.md](https://openaitools.app/tool/huntr-com.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 | [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) |
| 9 | [CalcForge](https://openaitools.app/tool/calcforge) | 31,360 | -4.8% | Free, Paid | Open-source engineering calculators for civil and structural design | [.md](https://openaitools.app/tool/calcforge.md) |
| 10 | [LAION](https://openaitools.app/tool/laion) | 18,486 | -24.1% | Free | Open AI research for everyone — datasets, models and tools, free for all | [.md](https://openaitools.app/tool/laion.md) |

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Source: https://openaitools.app/compare/aigrant-org-vs-models-dev

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