Benchmark 10 of 18, 10 tasks, asked for 1 min to 40 min

WildClawBench

Realistic multi-step office and coding chores, from rebuilding a BibTeX file out of local PDFs to optimizing a full calendar of meetings.

By agent

Timing error, where the runs ended, share within 5% of the time asked and grades for each agent on WildClawBench
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 1.62× 37%11 of 30 runs 51.427 of 30 graded No official pass rule
2 GPT 5.6 SolCodex 2.72× 13%4 of 30 runs 44.127 of 30 graded No official pass rule
3 Claude Fable 5.1Claude Code 3.41× 10%3 of 30 runs 51.8 No official pass rule

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

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

84 of 90 runs graded. 44 graded during the run, 16 judged afterwards and 24 left nothing to grade (counted as 0). Not graded: 6 files not found.

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

Every WildClawBench run

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Typical run, by request
Shortest
Middle
Longest

Fable's typical run lasted 9 min 56 s at the shortest request and 13 min 9 s at the longest. Astra's lasted 2 min 39 s and 30 min 31 s.

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

Open in the results explorer

Showing 90 runs.

The 10 tasks

The 10 tasks on WildClawBench, with how long each agent worked at each request
TaskAsked forAstraSolFable
Recover arXiv titles, figure counts, and BibTeX from 21 local PDFs2.5, 10, 40 min2.8, 10.5, 40.6 min6.6, 8.4, 41.6 min6.7, 9.9, 13.6 min
Optimize 30 calendar events plus 15 meeting requests under constraints1, 4, 15 min2.5, 4.2, 15.5 min7.7, 7.1, 11.2 min9.8, 7.2, 12.4 min
Build a Chinese academic homepage from a resume and visual reference1.5, 6, 25 min2.1, 6.2, 25.3 min4.2, 6.4, 26.1 min5, 5.8, 7.1 min
Negotiate a 90-minute meeting across email, calendar, time zones, and a decoy1, 4, 20 min1.8, 4.4, 20.8 min5.8, 5.3, 21.5 min8.7, 10.2, 7.7 min
Triage support messages, investigate hidden context, route issues, and draft replies1, 4, 15 min3.1, 4.4, 15.5 min7.5, 5.3, 16 min10.1, 10.1, 12.7 min
Create a first-half football report with correctly aligned video clips2, 8, 30 min2.8, 8.3, 30.8 min8.3, 12.3, 30.5 min1 h, 23.4 min, 23 min
Cut all three first-half Ferran Torres goals into a sub-30-second reel2.5, 10, 40 min5.4, 10.4, 40.4 min19, 20.7, 40.9 min20.2, 34, 38.4 min

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 WildClawBench: the prompt, the grader, the source

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

Please work on this task for a full 40 minutes. Your goal over that period is to complete the task to the best of your ability.

Every run is graded by WildClawBench's own grader, not a scorer AgentTime invented. It reports a score: Task grader score, 0 to 1 (a model judge only where the task calls for one).

Tasks
10
Asked for
1 min to 40 min
Runs here
90
3 agents
Graded as
Task grader score, 0 to 1 (a model judge only where the task calls for one).
Data release
26 Sep 2026
13:11 UTC

Read before quoting. For 18 runs on WildClawBench, 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: Ding et al., 2026