WTM-Bench (Office.js) - Soft Score: leaderboard

WTM-Bench (2026) gives a model a public Excel workbook with its derived artifacts removed and a concise level-3 request, and asks it to recreate the formulas, charts, pivot tables or conditional formatting by writing code in a tool loop of up to 10 turns; outputs are graded programmatically against the original workbook. Here the model drives Excel through Office.js. Score is the soft score, a partial-credit similarity to the target workbook, in percent; higher is better.

Metric: Soft score (%; weighted component similarity of cells, formulas, charts, pivot tables and conditional formatting to the target workbook, partial credit; the model drives Excel through Office.js; 150 WTM-Bench tasks at query level 3 (concise, abstract requests); the authors' tool-calling loop that executes code against the workbook, shows the resulting workbook state and allows up to 10 turns; deterministic programmatic grading). Source: arxiv.org. Saturation forecast: Around May 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.648.1#102
2Claude Sonnet 4.546.1#250
3GPT-5.244.3#176
4GPT-5.440.9#123
5Claude Haiku 4.536.7#568
6GPT-4.1 Mini29.3#779

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

Interactive version: theaggregate.ai/benchmark?slug=wtm-bench-office-js-soft-score · How It Works · Data refreshed daily, snapshot 2026-11-13.