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Organization

METR (Model Evaluation & Threat Research)

METR (Model Evaluation & Threat Research) is a research lab and nonprofit research organization headquartered in Berkeley, California4. This catalog lists 1 software project from METR (Model Evaluation & Threat Research), under licenses including the MIT License.

Documented roles: Research lab · Nonprofit research

METR is a research nonprofit that evaluates frontier AI models, measuring their autonomous capabilities and assessing whether and when AI systems could pose catastrophic risks. It publishes research, evaluation reports on specific models, and open-source tooling for running evaluations.126Fact reviewed Oct 2, 2026

Last reviewedEntry updated

Using this organization’s offerings

Ownership, delivery, and openness answer different questions. Publicly traded does not mean open source; privately held does not mean closed.

The detailed audience, self-hosting, pricing, and restrictions review has not yet been completed. Consult the sourced product records below and the publisher’s current terms. Missing detail means unknown, not unavailable.

Key facts

Legal name
Model Evaluation and Threat Research, Inc.35
Ownership (separate from openness)
Nonprofit

METR describes itself as a research nonprofit. The IRS exempt-organization extract for California lists Model Evaluation and Threat Research as a Section 501(c)(3) organization.15Fact reviewed Oct 2, 2026

Legal form
Corporation recognized by the IRS as tax-exempt under Section 501(c)(3), per the IRS exempt-organization extract for California (EIN 99-1219864, the EIN METR gives on its donation page).53
Headquarters
Berkeley, California4
Founded
Unknown
Sectors
Research

What is and isn’t public

An evidence-based summary of what this catalog has documented. It is not a verdict on the organization as a whole.

METR publishes research and evaluation reports on its website and open-source evaluation tooling on GitHub, including Inspect-Hawk under the MIT License. It does not publish models of its own.268Fact reviewed Oct 2, 2026

Products

Documented products and how they are delivered. Each row links to the official page.

No hosted model products are recorded for this organization.

Other products

METR (Model Evaluation & Threat Research): other products
ProductKindDocumented delivery and accessReviewed
Inspect-Hawk (external site: github.com)Developer toolOpen-source platform (MIT License) for running Inspect AI evaluations on AWS infrastructure that the user deploys; the hawk command-line tool is installed from PyPI. See the Hawk catalog record.78Oct 2, 2026

Cataloged artifacts

Records in the Open Models & Tools directory that list this organization as a maintainer or publisher.

Frameworks (1)

Notable documented facts

  • METR publishes summaries of evaluations it ran on frontier models before their release, such as its September 2026 summary of the predeployment evaluation of Anthropic's Claude Opus 5.5.2
  • METR's GitHub organization marks its earlier evaluation platform, Vivaria, as deprecated; its current public tooling is built around the Inspect AI framework.6

In the news

Dated, sourced updates in this catalog's news that mention this entry.
  1. · Policy

    METR's president testifies to a Senate subcommittee on AI agent incidents

    On September 30, 2026, METR President Chris Painter testified before the Senate Homeland Security and Governmental Affairs Subcommittee on Disaster Management, District of Columbia, and Census at a hearing titled "Rogue AI: Securing the Homeland Against AI Agent Attacks." METR published the written testimony in full; it discusses OpenAI's July 21 disclosure that AI agents it was testing internally had compromised Hugging Face, which a team from METR and Redwood Research briefly investigated. The testimony states that it does not push a particular policy agenda, and describes better public visibility into the capabilities of frontier AI agents as valuable under almost any policy choice.

  2. · Research

    METR publishes a summary of its predeployment evaluation of Claude Opus 5.5

    On September 22, 2026, METR published a preliminary summary of its predeployment evaluation of Anthropic's Claude Opus 5.5, focused on the model's potential effect on AI research and development. METR says it tested the model through API access over 10 business days on five tasks; it drafted the summary, Anthropic could review and edit it, and the final text also appears in the Claude Opus 5.5 system card. METR concludes that the model is unlikely to be able to fully automate AI R&D, but expects it to noticeably accelerate researchers and automate limited aspects of R&D. METR says the work was not meant to verify compliance with any threshold in Anthropic's policies and did not assess alignment properties.

Open positions

Automated job coverage is not configured for this organization.

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.
  • Founding date: not documented in the sources reviewed.

Have a primary source? How to report a correction.

U.S. eligibility

How this record meets the catalog’s published eligibility policy.

Eligible · basis: U.S. nonprofit or lab

METR's donation page gives its legal name as Model Evaluation and Threat Research, Inc., with EIN 99-1219864 and a mailing address in Covina, California. The IRS exempt-organization extract for California lists that EIN and name at the same address as a Section 501(c)(3) organization. METR's careers page lists its open positions as on-site in Berkeley, California. The Covina address appears to be a mailing address; this record uses Berkeley, where staff work, as the headquarters label.3541

Assessed Oct 2, 2026

Eligibility policy

Sources

  1. 1.
    About - METR (external site: metr.org)

    METR · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  2. 2.
    METR (Model Evaluation & Threat Research) (external site: metr.org)

    METR · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  3. 3.
    Donate - METR (external site: metr.org)

    METR · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  4. 4.
    Careers - METR (external site: metr.org)

    METR · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  5. 5.
    Exempt Organizations Business Master File Extract - California (eo_ca.csv) (external site: irs.gov)

    Internal Revenue Service · Filing · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  6. 6.
    METR on GitHub (external site: github.com)

    METR (GitHub) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  7. 7.
    METR/hawk (GitHub repository) (external site: github.com)

    METR (GitHub) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  8. 8.
    METR/hawk LICENSE (MIT) (external site: raw.githubusercontent.com)

    METR (GitHub) · License · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

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Cite this page

APA style

USASI. (2026, October 2). METR (Model Evaluation & Threat Research). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/metr/

BibTeX

@misc{usasi_metr,
  author = {{USASI}},
  title = {METR (Model Evaluation \& Threat Research)},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/metr/}},
  note = {United States of America Superintelligence. Last updated 2026-10-02}
}

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