Agent Arena 榜单：Anthropic 与 OpenAI 领跑各领域
The Agent Arena ranks agentic ability to solve problems across domains.
Agent Arena 按 Code、Work、Chat 三类智能体任务对模型排名，Anthropic 模型在三个领域均居第一，OpenAI 的 GPT 6 Astra (Max) 在 Code 排第 2、Work 和 Chat 均排第 4。Claude Fable 5.1 (Max) 领跑 Code 与 Work、Chat 第 2，Claude Sonnet 5.5 (Max) 领跑 Chat、Code 第 4、Work 第 5。Gemini 4 Argon (High) 在 Code 第 14、Work 第 12，但 Chat 第 5。榜单基于全球用户提交的真实任务中智能体的实时轨迹，截至 2026 年 10 月 5 日。
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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.