# Frontier Model Forum vs Models.dev

Frontier Model Forum records 10,545 monthly visits with +33.5% month-over-month growth and Contact for Pricing pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Frontier Model Forum](https://openaitools.app/tool/frontiermodelforum-org) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://frontiermodelforum.org | https://models.dev |
| Categories | AI Models, Large Language Models (LLMs) | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 10,545 | 200,451 |
| MoM Growth Rate | +33.5% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 4,297 | 136,316 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Frontier Model Forum

The Frontier Model Forum is an industry-supported non-profit rather than a commercial product. It was launched by Anthropic, Google, Microsoft and OpenAI to make sure the most advanced AI systems remain safe and secure, and it draws on the technical and operational expertise of those member companies. Its stated focus is on significant risks to public safety and national security rather than on near-term commercial deployment.

The Forum operates through three core mandates. First, it identifies best practices and supports standards development for frontier AI safety and security, building shared understanding of threat models, evaluations, thresholds and mitigations. Second, it advances the science and supports independent research, including standardised capability and safety evaluations. Third, it facilitates information sharing among government, academia, civil society and industry.

Practically, this work is organised into workstreams covering AI-Bio, AI-Cyber, AI-Nuclear and AI Security, alongside a 'Frontier Frameworks' track, and is funded in part through an AI Safety Fund. Published outputs are technical and policy-facing: for example, a technical report on Frontier Capability Assessments, which examines procedures used to detect capabilities that could raise public-safety or national-security risks, along with issue briefs and public comments on AI policy. Membership is intended for organisations developing frontier models, and the site asks interested parties to get in touch.

**Pricing & Plans:** Not a commercial product — there is no published price list. Membership and participation are handled by enquiry, which is why the site is listed as contact-for-pricing.

- **Best practices and standards development:** The Forum works to establish shared best practices for frontier AI safety and security, and to develop common understanding of threat models, evaluations, thresholds and mitigations.
- **Independent safety research:** It advances the science of AI safety evaluations, including methods for carrying out standardised and independent assessments of model capabilities and safety.
- **Workstreams across bio, cyber and nuclear risk:** Focus areas include risks related to chemical, biological, radiological and nuclear weapons, advanced cyber threats, and advanced autonomous behaviour.
- **Cross-sector information sharing:** The Forum facilitates information sharing about frontier AI safety challenges among industry, academia, civil society and government.
- **Technical reports and public policy comments:** Published material includes technical reports such as Frontier Capability Assessments, issue briefs, and formal comments on AI policy.

**Strengths:** Convened by four major frontier model developers, giving it real reach into the industry; Publishes substantive technical work such as the Frontier Capability Assessments report; Covers distinct risk workstreams rather than treating AI safety as one topic; Explicitly multilateral, involving government, academia and civil society

**Limitations:** It is an industry body, not a product — there is no software to try or buy; Membership is limited to major frontier model developers, so most organisations cannot join; Outputs are reports, briefs and comments rather than operational tools, which limits immediate practical use; Pace of voluntary commitments can lag behind the speed of model releases

[Profile (Markdown)](https://openaitools.app/tool/frontiermodelforum-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 Frontier Model Forum and Models.dev compare in monthly traffic?

Frontier Model Forum has 10,545 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Frontier Model Forum has a month-over-month growth rate of +33.5%; Models.dev has -3.9%.

### How does pricing compare?

Frontier Model Forum: Contact for Pricing. Not a commercial product — there is no published price list. Membership and participation are handled by enquiry, which is why the site is listed as contact-for-pricing. 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 | [Surge AI](https://openaitools.app/tool/surgehq-ai) | 245,142 | +6.6% | Contact for Pricing | Expert human data and evaluation for training frontier AI | [.md](https://openaitools.app/tool/surgehq-ai.md) |
| 3 | [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) |
| 4 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Free open course for prompt engineering and AI security | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [responsible.ai](https://openaitools.app/tool/responsible-ai) | 11,464 | -21.5% | Contact for Pricing | Practical tools and guidance for responsible, ethical AI adoption | [.md](https://openaitools.app/tool/responsible-ai.md) |
| 8 | [Museum of Models (Rival)](https://openaitools.app/tool/rival) | 9,187 | -35% | Free | Archives how various AI models answer identical prompts over time, offering qualitative comparison rather than pricing. | [.md](https://openaitools.app/tool/rival.md) |
| 9 | [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | -34.7% | Free | Tracks per-token API prices across major AI providers in a simple comparison table, but omits broader model specs. | [.md](https://openaitools.app/tool/llm-price-check.md) |
| 10 | [OpenGPT](https://openaitools.app/tool/opengpt-com) | 3,559 | -24.7% | Freemium | Helps compare foundation model performance and AI stacks, but functions more as a decision workspace than raw database. | [.md](https://openaitools.app/tool/opengpt-com.md) |

---
Source: https://openaitools.app/compare/frontiermodelforum-org-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)