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LMArena Agent Arena 发布跨领域 Agent 能力排名
Agent Arena 按 Code、Chat、Work 三类任务对模型 Agent 能力排名：Anthropic 模型在 Code、Work、Chat 均列第一，OpenAI GPT 6 Astra (Max) 三项均进前四；Claude Fable 5.1 (Max) 领跑 Code 与 Work、Chat 第二，Claude Sonnet 5.5 (Max) 领跑 Chat。榜单称基于全球用户提交的真实任务与实时 trace，Code 与 Work 排名相关性高于 Chat。
AI推荐理由 LMArena 的 Agent Arena 给出跨领域 Agent 能力排名：Anthropic 在 Code、Work、Chat 三项居首，OpenAI GPT 6 Astra (Max) 均进前四，并指出 Code 与 Work 排名相关性高于 Chat。榜单基于真实任务的人类提交与实时 trace，方法说明较具体，对 Agent 能力评估有参考价值；但排名由平台自建、模型名称与版本无法在输入中独立核实，应视为该平台口径下的结果。
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正文
The Agent Arena ranks agentic ability to solve problems across domains.
U.S. labs lead across every domain:
- @AnthropicAI models hold the #1 position in Code, Work, and Chat
- @OpenAI's GPT 6 Astra (Max) remains in the top four across all three categories: #2 in Code and #4 in both Work and Chat
The leading models stay strong across categories, but their order shifts:
- Claude Fable 5.1 (Max) leads both Code and Work and ranks #2 in Chat
- Claude Sonnet 5.5 (Max) leads Chat and ranks #4 in Code and #5 in Work
Code and Work rankings move together more closely than Chat:
- Gemini 4 Argon (High), for example, ranks #14 in Code and #12 in Work but #5 in Chat, highlighting a distinct strength in conversational agent tasks
Agent Arena ranks models based on overall net improvement against the current frontier, as well as performance across specific categories of agentic tasks. These rankings are grounded in live traces collected from agents attempting to solve real-world tasks submitted by humans around the world.
- Code: writing and debugging code, workflow automation, and data analysis
- Chat: creative writing, learning, personal questions, everyday research, and media generation
- Work: documents, professional research, planning, and professional writing
This visual outlines how selected models compare across Agent Arena categories as of October 5, 2026.