Agent Arena 数据：头部模型长任务耗时差距达 55 分钟
Agent Arena 拿 5 家实验室的旗舰模型跑了长任务对比，Claude Opus 5.5 能连续干近 2 小时，Kimi 最快但也最短，差距挺直观。
Agent Arena 公布长任务评测数据，任务覆盖数百轮对话，包括移植代码库到 Rust、审计投资策略文档、编写数学教材等。对比 5 家头部实验室的旗舰模型发现，长任务耗时差距达 55 分钟。Claude Opus 5.5 排名第一，单任务耗时最长峰值达 1 小时 51 分钟；Kimi K3.1 Pro 耗时最短，长任务仅 56 分钟。其余对比模型包括 Gemini 4 Carbon、GPT-6 Astra 和 Muse Wonder Full。
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 💬 7 🔄 1 ❤️ 20 👀 6847 📊 9 ⚡
