Agent Arena 排行：复杂任务上 Gemini 4 Argon 与小米 MiMo 表现突出
Agent Arena 拆了成本维度看模型：贵任务上 OpenAI 和 Anthropic 不再通吃，Gemini 4 Argon 和小米 MiMo 顶上，选型前值得对号入座。
Agent Arena 数据显示，在低成本任务上 OpenAI 和 Anthropic 占据 11 个前沿席位中的 10 个，但在最昂贵的 5% 会话中只剩 7 个。空出的位置由 Google 的 Gemini 4 Argon 和小米的 MiMo-V2.6 Flash 与 Pro 补上。近两周有超过 1,000 个会话成本超过 100 美元，选错模型可能明显推高账单。五大实验室旗舰模型对比中，Claude Opus 5.5 在长时程任务上耗时最长，峰值达 1 小时 51 分钟，Kimi K3.1 Pro 耗时最短，为 56 分钟，两者相差 55 分钟。
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. Your browser does not support the video tag. 🔗 View on Twitter Arena.ai @arena 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. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 10 🔄 3 ❤️ 23 👀 4975 📊 10 ⚡
