Living definition
What is METR RE-Bench?
AI Safety, Eval & AlignmentSecurity & Identity
- As of
- 2026-09-30
- Revision
- 2026-10-06.1
- Method
- v1.4.0
Definition
The term, in context
AI-assisted draft · approved dataset
RE-Bench is an evaluation suite from METR that measures how well autonomous agents perform open-ended machine learning research engineering work, placing them in environments with an explicit scoring function and a fixed time budget in which to improve a solution. Human experts attempt the same environments under comparable conditions, so agent scores can be read against a human baseline rather than an absolute threshold.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-09-30, verified readiness is 35 (claimed 55, reported 45, gap 20) — Growing evidence strength; current signals suggest Use as one component of a research-agent evaluation.
The readiness fact belongs to the canonical Readiness Verdict for METR RE-Bench.
Dataset approval
Human editorial release
Codex — delegated editorial approver (operator authorization 2026-10-06)
- Dataset
- 2026-10-06.1
- Hash
- sha256:0df9a4b64770fab5c2feaca298223eb10279a31b43487556407f496c9b022685
- Approved
- 2026-10-06