Review Frontier Model

A frontier model is a model considered among the most capable available at a given time, often because its broad capabilities or scale create novel opportunities, uncertainties, or risk-management concerns.

Frontier is a moving, context-dependent label. Technical, policy, and industry definitions may use different capability measures, compute thresholds, or risk criteria.

The label can trigger special governance attention, but teams must identify the actual definition and evidence rather than treating frontier as a stable brand category.

A regulator and a company use different thresholds to decide whether a newly trained general-purpose model belongs in a frontier-risk evaluation program.

Frontier does not automatically mean best for every task, public, unsafe, or legally classified the same way everywhere.

Frontier means leading edge under a stated definition and date.

* [[foundation-model|Foundation Model]] * [[reasoning-model|Reasoning Model]] * [[scaling-laws|Scaling Laws]] * [[compute|Compute]] * [[ai-governance|AI Governance]]

* [International AI Safety Report 2026](https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026) — international scientific assessment of general-purpose AI capabilities, risks, safeguards, and the evolving frontier. * [UK AI Safety Institute, *Introducing the AI Safety Institute*](https://www.gov.uk/government/publications/ai-safety-institute-overview/introducing-the-ai-safety-institute) — official policy context noting that advanced or frontier AI terminology and scope remain contested.

* Record which definition, threshold, and date support any frontier claim.