Kaggle 推出 Arenas：用户投票评选模型对抗表现
Kaggle 做了个投票版模型竞技场：同一道题丢给两个模型，你来选谁做得好，投票攒成排行榜。和 LMAarena 打法类似但主打 3D 建模、数据可视化这类出图的活儿，选模型时可以拿来当个直观参考。
Kaggle 宣布推出 Arenas 产品，让用户以一对一的方式给 AI 模型的输出投票。平台会把同一个任务同时交给两个模型完成，任务类型覆盖 3D 建模、创意设计和数据可视化等领域，用户看完两边的结果后选择更好的一方。
与传统基准测试不同，Arenas 不依赖固定的自动评测指标，而是由真实用户的判断累积成排行榜，每次投票都会直接影响排名。这种众包评测方式与 LMArena 的思路类似，但 Kaggle 的切入点偏重生成类任务的可视化产出，而不是文本问答。
对开发者和选型团队来说，这提供了一条观察模型在实际创意任务上差异的渠道，投票数据也能反映真实使用偏好，比单次跑分更贴近日常使用场景。
Benchmarks tell you how models score. Arenas let you judge and see how they stack up.
Introducing Kaggle Arenas: head-to-head matchups where AI models take on the same challenge, and you decide which one comes out on top.
From 3D modeling to creative design to data visualization, see what today's models can really do.
Every vote helps shape the leaderboard.
Start voting: https://t.co/7Q9Ddox0ZY
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Kaggle, LMArena, 模型评测, 排行榜.
Source attribution: curated from Kaggle (@kaggle).
