// readme

A benchmark and open call for valuable, reproducible RL runs. Each task is a real training run that went wrong. The agent has to find the root cause (issue) and, where a repaired run exists, fix it and rerun (solution).

๐Ÿš€ News

  • 2 Nov 2026 โ€” We release the first version of the task list: 18 tasks, 13 of which support solution-level evaluation.
  • 24 Oct 2026 โ€” Call for contributions officially open, and Kimi-K3.1-Pro added to the leaderboard.
  • 19 Oct 2026 โ€” GitHub repo and website released.

Leaderboard

AutoRLBench Leaderboard, issue + solution evaluation.

#ModelAgentIssue ScoreSolution ScoreOverall
1Claude-Fable-5.1Claude Code71.4 %80.0 %75.7 %
2Gemini-4-ArgonClaude Code52.4 %80.0 %66.2 %
3GPT-6.1-SolCodex61.9 %70.0 %66.0 %
3Kimi-K3.1-ProClaude Code61.9 %70.0 %66.0 %
3Grok-4.7Grok Build61.9 %70.0 %66.0 %
6GPT-6-AstraCodex71.4 %60.0 %65.7 %
7GLM-5.3Claude Code57.1 %60.0 %58.5 %
8Qwen3.8-MaxQwen Code52.4 %50.0 %โ€ฆ