Agent Arena 评测：复杂任务上 Gemini 4 Argon 与 MiMo-V2.6 崛起
Arena 发布 Agent Arena 评测观察，称任务越复杂，Google DeepMind 和小米 MiMo 越是最大赢家。在便宜任务上 OpenAI 和 Anthropic 占据 11 个前沿席位中的 10 个，但在最贵的 5% 会话中只占 7 个，空出的席位由 Gemini 4 Argon 和 MiMo-V2.6 Flash/Pro 补上。
Arena.ai· @arena · X·2026-11-05 01:41· 1 小时前AI 评分58
AI 导读
Arena 发布 Agent Arena 评测观察，称任务越复杂时 GoogleDeepMind 和 Xiaomi MiMo 是最大赢家。便宜任务上 OpenAI 和 Anthropic 占据 11 个前沿席位中的 10 个，但在最贵 5% 会话中只占 7 个，空出的席位由 Gemini 4 Argon 和 MiMo-V2.6 Flash/Pro 补上。
正文 · 原文
As tasks get more complex, @GoogleDeepMind and @XiaomiMiMo are the biggest winners in the Agent Arena.
On cheaper tasks, @OpenAI and @AnthropicAI hold 10 of the 11 frontier spots. On the most expensive 5% of sessions, they hold just 7. The freed spots go to Google’s Gemini 4 Argon and Xiaomi’s MiMo-V2.6 Flash and Pro.
These shifts matter as sessions costing $100 or more are not uncommon across real-world use cases coming from Agent Arena. Even within the last 2 weeks, more than 1,000 sessions crossed that boundary, and choosing a suboptimal model might have had a meaningful impact on that final bill.
Agent Arena measures complex, real-world tasks. Data shows that these long-horizon sessions amplify differences in frontier models. Long-horizon tasks in Agent Arena span hundreds of turns, from porting a codebase to Rust and auditing an investment strategy document to writing a math textbook, and more. Comparing the top model from each of the 5 leading labs on Agent Arena reveals a 55-minute gap in how long they spend on long-horizon tasks. The models are: - Claude Opus 5.5 by @AnthropicAI - Gemini 4 Carbon by @GoogleDeepMind - GPT-6 Astra by @OpenAI - Muse Wonder Full by @AIatMeta - Kimi K3.1 Pro by @Kimi_Moonshot In this group, Claude Opus 5.5, #1 in Agent Arena, takes the longest at every task length, peaking at 1 hour 51 minutes. In contrast, Kimi K3.1 Pro spends the least time at every length, with 56 minutes on long-horizon tasks.在 X 查看被引用的帖子
来源：Arena.ai · x.com
来源：RadarAI · aihot.news