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v2026.11,610 entries · CC-BY 4.0
Dictionary termTrack CStablev2026.2

Frontier model

A foundation model whose capabilities meet or exceed the most advanced publicly known systems at the time of training, often defined operationally by training-compute thresholds or by performance on canonical benchmarks.

ByCASRAI Editorial Board
· Last updated 21 May 2026

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Examples

Worked examples

  • Is an instance

    A model whose training run exceeded 10^25 FLOPs and that is subject to systemic-risk obligations under the EU AI Act.

  • Is an instance

    A frontier-lab model voluntarily disclosed to the UK AISI under the pre-deployment access agreement.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A 7B-parameter open-weight model usable on a single GPU.

  • Not an instance

    A task-specific classifier trained for one application.

Editorial commentary

The term 'frontier model' came into widespread use through 2023-2024 policy discussions (UK AI Safety Institute, US Executive Order 14110) as a proxy for 'most capable model class', often via training-compute thresholds (e.g., > 10^25 or > 10^26 FLOPs). The definition is intentionally moving so that the term tracks the technological frontier.

References

  • UK AI Safety Institute publications; US Executive Order 14110 (2023); EU AI Act systemic-risk-model provisions.

Also known as

frontier AI model

Machine-readable encodings

Use in your systems

JATS XML <role> element
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Schema.org DefinedTerm (JSON-LD)
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Referenced across the research world

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