OdysseysMega

Long-horizon web work, judged rubric by rubric

OdysseysMega measures whether an agent can turn extended work across live websites into a usable, review-ready result. Tasks require sustained browsing, evidence gathering, comparison, and often document or spreadsheet construction; every rubric is judged against the complete screenshot history rather than the final answer alone.

  • Live websites
  • Computer-use agents
  • Expert-authored rubrics
  • Human-reviewed tasks
  • Recorded frame by frame
100
Tasks
4
Models
1
Trial per task

Task pass rate by model

Full leaderboard

A task passes only when the judge finds every one of its rubrics satisfied. Rubrics are the task author's checklist — the specific facts, comparisons and deliverables a complete answer has to contain — and each is judged against the run's recorded screenshots and actions.

  • Claude Opus 5.541%
  • GPT-6 sol20%
  • GPT-5.6 sol18%
  • Claude Opus 515%

Measured on 100 tasks · 399 runs · 4 models

The verdict

The strictest reading on this page: a run counts only where the judge found every one of the task's rubrics satisfied. The rubric score on the board gives partial credit instead — the share of a task's rubrics a run met.

Claude Opus 5.5

41%

best model's pass rate

Across 100 tasks, Claude Opus 5.5 — the strongest model — satisfies every rubric on 41% of its runs.

The evidence

Explore all tasks

The tasks where the models disagree most. Open one for the request, a replay of every run, and how each rubric was judged.