WorkflowArena: Stronger Models Aren't Necessarily Better Multi-Agent Coordinators
OliviaYii · reddit · 2026-11-11
Einsia's WorkflowArena tests a counterintuitive question: is the strongest model also the best orchestrator for a multi-agent team? On a 32-task subset with the execution model fixed and only the workflow author swapped (orchestrators can't edit files themselves), results diverged sharply.
- With Opus 5.5 dynamically coordinating, Kimi K3.1 Pro's continuous score rose from 35.75 to 46.61, and DeepSeek V4.1 Flash's from 18.37 to 25.24
- Workflows authored by GPT-6 Astra—stronger than those executors on the main benchmark—transferred poorly: static workflows lowered scores by 2.53 points on average; dynamic ones added just 1.34
The full benchmark spans 145 tasks across 8 domains; agents choose their own workflows and deliverables must hold together end to end (regressions pass, accounts reconcile, conclusions stay consistent). Takeaway: orchestration skill is a distinct axis from task skill—don't pick coordinators off leaderboard rankings alone.
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