
Expert human data and evaluation for training frontier AI

An industry non-profit advancing the safety and security of frontier AI models
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Frontier Model Forum (frontiermodelforum.org) is an AI platform indexed under AI Models generating 10.55K monthly visits with a month-over-month traffic delta of +2.65K (+33.5%). Its primary geographic market is United States (93.6% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Surge AI (245.14K visits/mo), Models.dev (200.45K visits/mo), LLM Price Check (8.26K visits/mo).
Critical industry coordination for frontier AI safety standards.
Mostly high-level policy papers so far.
Good research funding initiatives.
A bit slow on public deliverables.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
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.
It advances the science of AI safety evaluations, including methods for carrying out standardised and independent assessments of model capabilities and safety.
Focus areas include risks related to chemical, biological, radiological and nuclear weapons, advanced cyber threats, and advanced autonomous behaviour.
The Forum facilitates information sharing about frontier AI safety challenges among industry, academia, civil society and government.
Published material includes technical reports such as Frontier Capability Assessments, issue briefs, and formal comments on AI policy.
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.
Use the Forum's technical reports and issue briefs as source material when writing AI safety, security or governance analysis.
Review emerging industry practices for evaluating capabilities such as CBRN risk, cyber threat potential and autonomy before deploying sensitive models.
Follow workstream output on AI-Bio, AI-Cyber, AI-Nuclear and AI Security to anticipate where standards and regulatory expectations are heading.
Reference published best practices and frameworks when explaining your own AI risk posture to stakeholders or boards.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Frontier Model Forum | 10.55K | +33.5% | 41% direct | Contact for Pricing | Current |
| 1 | Surge AI | 245.14K | +6.6% | 53% direct | Contact for Pricing | vs Surge AI |
| 2 | Models.dev | 200.45K | -3.9% | 68% direct | Free | vs Models.dev |
| 3 | LLM Price Check | 8.26K | -34.7% | 39% direct | Free | vs LLM Price Check |
| 4 | Museum of Models (Rival) | 9.19K | -35% | 40% direct | Free | vs Museum of Models (Rival) |
| 5 | LLMBoard.ai | 378 | 0% | 33% direct | Free | vs LLMBoard.ai |
| 6 | fast.ai | 250.72K | -10.4% | 55% direct | Free | vs fast.ai |

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