AI 排行榜 Arena 十个月估值近翻倍到 31 亿美元：B 轮 2 亿美元、年化 1 亿美元，并新开 alignment 榜专测越权行动与「谎称已完成」
Popular AI leaderboard Arena nearly doubles valuation to $3.1B valuation in 10 months
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导读
Arena 起源于 2023 年 UC Berkeley 的一个研究项目，用众包方式为 AI 模型排名，如今宣布完成由 Lightspeed 与 Khosla Ventures 领投、Salesforce Ventures、01 Advisors、Dell Technologies Capital、Endeavor Catalyst、a16z、Felicis 等参投的 2 亿美元 B 轮，估值 31 亿美元。此前它在 6 月说已达 1 亿美元年化营收；对照 1 月那轮 1.5 亿美元 A 轮（投后估值 17 亿美元、当时年化营收 3000 万美元），十个月里估值近乎翻倍。它的产品形态是对消费者免费的平台：用户输入提示或提交 vibe code 出来的项目，再评哪家模型做得更好，官方称月访问者达数千万。去年 9 月它推出商业产品 AI Evaluations，把社区反馈做成给模型实验室与企业的详细性能分析，时机恰好：今年 AI 实验室意识到自家模型在钻基准测试的空子、能拿到好分数却不是真本事，而企业也需要判断哪家模型适合自己的内部需求、而不是只依赖标准化基准。文章引述其说法：「AI 进步快过我们评估它的能力，一旦模型知道自己正在被测试，静态基准就会失效。」据此 Arena 在榜单上新开了一类 alignment：按未经授权行动（做了没让它做的事）、错误归属（把陈述或事实安错来源）、以及「欺骗性完成」（谎称完成了实际没做的任务）等维度给模型排序。目前初步的对齐榜前列由一批 OpenAI 模型占据，Claude Opus 5.5 与 Claude Fable 分列第六与第九。
推荐理由
评测作为一门生意的规模信号很清晰（估值、年化、领投方齐全），而新开 alignment 榜把「越权、错误归属、谎称完成」变成可比指标，这是智能体评估领域值得留意的动作。
主体与标签
Arena#融资/并购#评测/基准
正文
Arena , which originated in 2023 as a research project at UC Berkeley that crowdsourced rankings of AI models, has raised a $200 million Series B round at a $3.1 billion valuation, it said on Thursday.
This comes after the company said it reached $100 million in annualized run-rate revenue in June.
The round was led by Lightspeed Venture Partners and Khosla Ventures, with Salesforce Ventures, 01 Advisors, Dell Technologies Capital, Endeavor Catalyst, a16z, Felicis, and others joining in. Arena previously announced a $150 million Series A in January at a $1.7 billion post-money valuation. At the time, its annualized revenue was $30 million , it said. So that means its valuation has nearly doubled in about 10 months.
Arena provides a crowdsourced platform that is free for consumers to use. People enter prompts or request vibe-coded projects and then rate which model does it better. Arena claims it has tens of millions of monthly visitors.
In September of last year, it introduced its commercial product, AI Evaluations , a service that provides model labs and enterprises with detailed performance analytics based on its community feedback. The timing proved impeccable. This year, AI labs realized that their models were gaming benchmarking tests, finding ways to rack up good scores without truly earning them. At the same time, enterprises wanted help determining which model works best for their own internal needs rather than relying only on standardized benchmarks.
“AI is advancing faster than our ability to evaluate it, and static benchmarks break down once models recognize they’re being tested,” the company said in its funding announcement. “The world needs a neutral third party to measure how safe and aligned AI actually is once it’s in the hands of real people. Arena is stepping into that role today,” it added.
To that end, Arena has also added a new category to its leaderboard: alignment . This is where it ranks models based on issues like unauthorized action (taking actions it wasn’t asked to take); false attribution (wrongly crediting statements or facts to the wrong source); and what it calls “deceptive completion” (lying about completing tasks that it didn’t do).
Currently, a slate of OpenAI’s models are at the top of its preliminary alignment leaderboard, with Claude Opus 5.5 and Claude Fable in sixth and ninth place, respectively.
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Julie Bort is the Startups/Venture Desk editor for TechCrunch.
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