ClawMark - Task Success: leaderboard

Metric: Task success rate (%): tasks on which every checker passes; 100 multi-day coworker tasks in 13 professional scenarios on five stateful sandboxed services (filesystem, email, calendar, knowledge base, spreadsheet) with multimodal evidence; every model runs in the OpenClaw agent framework, one sweep, deterministic Python checkers (no LLM judge); higher is better. Source: arxiv.org. Saturation forecast: Around August 2028. 7 models tracked.

Top models

#ModelScore
1Claude Opus 4.6 (Thinking)20
2Claude Sonnet 4.6 (Thinking)14
3GPT-5.4 (High)9
4Gemini 3.1 Pro (Preview)8
5Kimi K2.67
6Qwen 3.6 Plus5
7Kimi K2.50

Interactive version: theaggregate.ai/benchmark?slug=clawmark-task-success · How It Works · Data refreshed daily, snapshot 2026-10-07.