METR
Model Evaluation & Threat Research
AI companies and wider society want to understand the capabilities of frontier AI systems, and what risks they pose.
Frontier Risk Report
(February to March 2026) A pilot assessment of rogue deployment risk at frontier AI companies. Non-public information and model access provided by: 
Read report Time Horizon 1.1 (Current)TH 1.1
Time Horizon 1.1 (Current)
Follows the same methodology described in the initial paper, but with a larger task suite. See release announcement.
Time Horizon 1.0 (Mar 2025)
Original time horizon computations. Calculated for models from 2019 through Nov 2025, following the methods described in the original time horizon paper.
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Task-Completion Time Horizons of Frontier AI Models __ We propose measuring AI performance in terms of the length of software tasks AI agents can complete. We show an exponential increase in this time horizon metric over the past 6 years.
Featured Research
Our AI evaluations research focuses on assessing broad autonomous capabilities and the ability of AI systems to accelerate AI R&D. We also study potential AI behavior that threatens the integrity of evaluations and mitigations for such behavior.
- General
- Technical
- Policy
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Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity
A survey of 349 technical workers finds a median 1.4–2x self-reported change in value of work due to AI tools, expected to grow over time, though there are reasons to be skeptical of the magnitude.
Early Work on Monitorability Evaluations
We show preliminary results on a prototype evaluation that tests monitors' ability to catch AI agents doing side tasks, and AI agents' ability to bypass this monitoring.
How Does Time Horizon Vary Across Domains?
We build on our time-horizon work and analyze 9 benchmarks for scientific reasoning, math, robotics, computer use, and self-driving in terms of time-horizon trends; we observe generally similar rates of improvement to the 7-month doubling time in our original time-horizon work.
MALT
A dataset of natural and prompted examples of behaviors that threaten evaluation integrity, like generalized reward hacking or sandbagging
Hawk
Our open-source platform for running AI agent evaluations at scale, built upon Inspect AI
Measuring autonomous AI capabilities — resource collection
An index of our research and guidance on how to measure AI systems' ability to autonomously complete a wide range of multi-hour tasks
Common Elements of Frontier AI Safety Policies
An analysis of the shared components across twelve published frontier AI safety policies, including capability thresholds, model weight security, and deployment mitigations
Frontier AI Safety Policies
A list of AI companies' frontier safety policies intended to evaluate and manage severe AI risks
What should companies share about risks from frontier AI models?
We describe areas for risk transparency and specific technical questions that a frontier AI developer could answer.
Risk Assessment
Our work assessing risks from frontier AI systems — including the Frontier Risk Report, independent reviews of AI developers' risk assessments, and capability evaluations of frontier models.
[Frontier Risk Report (Feb–Mar 2026) May 19, 2026 •
Partnership ](/blog/2026-05-19-frontier-risk-report/) Review of Anthropic Risk Report: February 2026 § Risks from automated R&D May 8, 2026 • Partnership Red-Teaming Anthropic's Internal Agent Monitoring Systems March 26, 2026 • Partnership Review of the Anthropic Sabotage Risk Report: Claude Opus 4.6 March 12, 2026 • Partnership Review of the Anthropic Summer 2025 Pilot Sabotage Risk Report October 28, 2025 • Partnership Summary of our gpt-oss methodology review October 23, 2025 • Partnership GPT-5.1-Codex-Max November 19, 2025 • Partnership GPT-5 August 7, 2025 • Partnership ### DeepSeek and Qwen June 27, 2025 • No company involvement OpenAI o3 and o4-mini April 16, 2025 • Partnership Claude 3.7 April 4, 2025 • Partnership ### DeepSeek-R1 March 5, 2025 • No company involvement GPT-4.5 February 27, 2025 • Partnership ### DeepSeek-V3 February 12, 2025 • No company involvement Claude 3.5 Sonnet and o1 January 31, 2025 • Partnership Claude 3.5 Sonnet (original) October 30, 2024 • Partnership o1-preview September 12, 2024 • Partnership GPT-4o August 7, 2024 • Partnership GPT-4 and Claude March 17, 2023 • Partnership
View all evaluation reports
METR does not accept compensation for this work.
Companies such as OpenAI, Anthropic, and xAI have provided access and compute credits to support evaluation research. We also occasionally evaluate models independently after they are released, without involvement from the model's developers. Recent public reports resulting from this work are above, with additional discussion in the respective system cards.
Frontier AI Safety Policies
We advise AI developers and governments on implementing risk assessment methodologies for AI. For example, we have advised developers on Frontier AI Safety Policies.
METR in the press
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