Benchmark Almanac

METR pre-deployment AI R&D tasks

Not in model cards

METR's long-horizon tasks for Anthropic pre-deployment tests: Train a Program, Gaming Bot, Sunlight open-ended research, plus Budget NanoGPT and LMCA.

Made by METR AI research tasks Tasks kept private
Level
Research frontier Researchers, on open problems or tasks that take days
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for METR pre-deployment AI R&D tasks yet.

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

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  • PostTrainBench 1.2 In use CLI agent gets a base model, one H100 and a time budget to post-train it for a target benchmark. Scored on normalized gain. Claude Fable 5.1 44.6%
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