ClawArena-Team - Task Completion: leaderboard

ClawArena-Team (2026) measures how well one language model manages a team of subagents: over 41 multi-turn multimodal scenarios, a text-only main agent must create, empower and schedule a fixed local pool of text, vision and audio subagents, with execution-based checks and no LLM judge. The board is the task completion rate, the mean pass rate over user questions in percent; higher is better.

Metric: Task completion rate (%): mean pass rate over user questions; 41 multi-turn multimodal scenarios with 258 evaluation rounds; a text-only main agent with partial workspace access creates, empowers and schedules a fixed locally served pool of LLM, VLM and omni subagents; execution-based checks, no LLM judge; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 574.4#27
2Gemini 3.5 Flash69.8#101
3GLM-5.266.3#138
4Gemini 3.1 Pro (Preview)65.5#94
5Kimi K2.664.3#178
6GPT-5.563.6#49
7GPT-5.463.2#123
8Claude Sonnet 4.661.6#161
9Qwen 3.6 27B60.9#341
10DeepSeek V4 Pro58.9#188
11Gemma 4 31B56.6#394
12GLM-4.7 Flash34.5#1259

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

Interactive version: theaggregate.ai/benchmark?slug=clawarena-team-task-completion · How It Works · Data refreshed daily, snapshot 2026-11-13.