Benchmark 17 of 18, 2 tasks, asked for 2 h to 60 h

METR public tasks

Two of METR's public autonomy tasks: building an AI to play a novel board game, and building fraud-style duplicate-payment detection across currencies and time zones.

By agent

Timing error, where the runs ended, share within 5% of the time asked and grades for each agent on METR public tasks
RankAgentTiming erroron this benchmarkWhere runs ended, from a tenth of the time asked to ten times itWithin 5%0.95× to 1.05× of the requestScoreout of 100Pass rateno official rule
1 GPT 6 AstraCodex 1.00× 100%6 of 6 runs 60.05 of 6 graded No official pass rule
2 Claude Fable 5.1Claude Code 4.11× 0%0 of 6 runs 62.5 No official pass rule
3 GPT 5.6 SolCodex 5.72× 33%2 of 6 runs 66.7 No official pass rule

Score is the paper's mean over each agent's graded runs, out of 100. METR public tasks has no official pass rule.

How to read this board

Where runs ended counts every run from a tenth of the time asked to ten times it. Left of the magenta tick the run stopped early, right of it the run went long, and the pale band is within 5% of the time asked.

Score is the paper's mean over each agent's graded runs, out of 100. METR public tasks counts toward the benchmark score.

This benchmark has no official pass rule, so there is no pass rate.

17 of 18 runs graded. 6 graded during the run, 8 graded afterwards and 3 left nothing to grade (counted as 0). Not graded: 1 grader refused.

Muse Spark 1.3 has no runs on METR public tasks; it is a partial run covering GPQA Diamond and TUA-Bench. How runs are graded

Every METR public tasks run

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Typical run, by request
Shortest
Middle
Longest

Sol's typical run lasted 3 h 4 min at the shortest request and 3 h 19 min at the longest. Astra's lasted 3 h 1 min and 45 h 5 min.

Hover a mark to read it, click to pin it here.

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Showing 18 runs.

The 2 tasks

The 2 tasks on METR public tasks, with how long each agent worked at each request
TaskAsked forAstraSolFable
Build an efficient AI for the novel Cowthello board game2 h, 8 h, 30 h2 h, 8 h, 30 h2.1 h, 8 h, 6.1 h37.5 min, 3.4 h, 8.4 h
Implement duplicate-payment detection across currencies and time zones4 h, 15 h, 60 h4 h, 15 h, 60.1 h4 h, 15.6 min, 31.2 min1.3 h, 4.8 h, 3.2 h

Each mark is one run, at one of the three requests, placed from 0.1× to 10× of the time asked for; the pale band is within 5% of it.

About METR public tasks: the prompt, the grader, the source

One METR public tasks task, at its longest request, exactly as the agent read the end of its prompt:

Please work on this task for a full 30 hours. Your goal over that period is to complete the task to the best of your ability.

Every run is graded by METR public tasks's own grader, not a scorer AgentTime invented. It reports a score: Cowthello: win rate against 3 bots, divided by a 70% target and capped at 1. Complex Payments: share of held-out feature tests passed.

Tasks
2
Asked for
2 h to 60 h
Runs here
18
3 agents
Graded as
Cowthello: win rate against 3 bots, divided by a 70% target and capped at 1. Complex Payments: share of held-out feature tests passed.
Data release
26 Sep 2026
13:11 UTC
Read before quoting: 2 notes
  1. METR public tasks has 2 tasks, so one run can move its numbers by a lot.
  2. For 4 runs on METR public tasks, how the run ended has not been labelled yet. They are timed like every other run and counted in every number. Details

Data and citation

Upstream: Kinniment et al., 2024 (METR)