PPT-Eval - Average Score: leaderboard

PPT-Eval (Microsoft, 2026) evaluates computer-use agents on 120 real PowerPoint creation and editing tasks in PowerPoint for the web, where the agent acts through GUI actions from full-screen screenshots. The score is the average rubric score in percent: task-specific rubrics judged by Claude-4-Sonnet give partial credit for intermediate steps and penalize unnecessary changes, averaged over three runs. Higher is better.

Metric: Average rubric score (%) over all 120 PPT-Eval tasks: task-specific rubrics award partial credit for intermediate steps and penalize unnecessary changes and poor aesthetics, the agent editing the deck in PowerPoint for the web through GUI actions from full-screen screenshots; rubrics judged with Claude-4-Sonnet; mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.557#156
2Claude Sonnet 453#400

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=ppt-eval-average-score · How It Works · Data refreshed daily, snapshot 2026-11-13.