DocOps (Claude Code, Skills): leaderboard

DocOps (2026) evaluates agents on 210 editing and workflow tasks over native Excel, Word, PowerPoint and PDF files, each checked by a deterministic verifier of structure, semantics and preservation of untouched content. This board runs the models through the Claude Code agent harness with the Anthropic document skills; the score is the percent of tasks passed, higher is better.

Metric: Task pass rate (%; 210 native-format document tasks in Excel, Word, PowerPoint and PDF (50 atomic edits, 40 compositional, 60 single-document and 60 cross-document workflows), passed only when the submitted artifact satisfies every structural, semantic and preservation predicate of a deterministic in-container verifier; run through Harbor; Claude Code harness with the Anthropic xlsx, docx, pptx and pdf skills; higher is better). Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.651.9#161
2Qwen 3.6 27B42.4#341
3DeepSeek V4 Pro40#188
4Qwen 3.5 27B37.1#359
5Qwen 3.6 35B A3B33.8#462
6Gemma 4 31B30#394
7Qwen 3.5 35B A3B29.5#482
8Qwen 3.5 122B A10B29#331
9Qwen 3.5 9B17.6#803
10GLM 4.5 Air16.7#868

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

Interactive version: theaggregate.ai/benchmark?slug=docops-claude-code-skills · How It Works · Data refreshed daily, snapshot 2026-11-13.