AI模型精选

Inkling在Agent Arena开源模型排第9,美国最佳

Inkling by @thinkymachines debuts at #9 in Agent Arena among open-weight models, and #30 overall. Th...

精选理由

Inkling是当前美国最强的开源模型,在Agent Arena排第9,擅长处理复杂工作流和CLI错误恢复,但用户反馈一般,你可以试试看它是否适合你。

AI 摘要

Inkling在Agent Arena开源模型中排名第9,总分第30,是美国唯一进入前10的开源模型。它在CLI错误恢复方面表现突出(+6.4%,第16),但用户情感分仅-18.0%(第38),可操控性第35,任务完成第29。此外,Inkling在Frontend Code Arena开源模型中排名第10,总分第37,品牌营销领域第4、数据与分析第7。若Kimi K3按计划于7月27日发布权重,将成为排名第一的开源模型,使其他模型顺延一位。

原文 · lmarena.ai

Inkling by @thinkymachines debuts at #9 in Agent Arena among open-weight models, and #30 overall. Th...

Inkling by @thinkymachines debuts at #9 in Agent Arena among open-weight models, and #30 overall. This makes the best open model from the US for agentic long running tasks and also the only US model in the top 10 open model field. If Kimi K3's weights are released on schedule by July 27, it will become the #1 open-weight model shifting all others down by 1 rank. Inkling's weak spot is user sentiment: people complain more than they praise it (-18.0%, #38 ), and it doesn't take feedback well, ranking #35 on steerability and #29 on task completion. Where it does shine is recovering from CLI errors (+6.4%, #16 ). In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide decks, researching the web, building apps, and analyzing documents. Congrats to the @thinkymachines team on this strong debut! Arena.ai @arena Inkling by @thinkymachines debuts at #10 (1434 pts) in Frontend Code Arena for open weight models, and #37 overall. This makes it not only the best open model from the US, but also the only US model in the top 15 open model field. Within open weight models, Inking is strong with #4 in Brand & Marketing, #7 in Data & Analytics, and within the top 20 across all remaining domains. 🔗 View Quoted Tweet 💬 7 🔄 9 ❤️ 95 👀 9925 📊 15 ⚡