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Jev 成为 Vercel 史上采用最快的 AI 模型

Jev is Vercel's fastest-adopted AI model ever | TechCrunch

TechCrunch 原文署名:Russell Brandom原文发布:2026年10月16日 23:33 · 北京时间

以下为原文逐段中文翻译,保留图表与说明。AI 翻译并经 AI 对照复核,仍可能存在错误;核对数据和引用时请同时查看原文。译文发布:2026年10月17日 05:40(北京时间)。

图片示意:Vercel 标志出现在手机屏幕上
图片来源:摄影:Thomas Fuller/SOPA Images/LightRocket / 盖蒂图片社

Jev 已成为有史以来采用最快的 AI 模型——至少按某些标准衡量是如此。

Vercel 周四发布的数据显示,这款备受瞩目的决策模型在发布后两周内,已被35%的付费团队使用,触达范围几乎是第二受欢迎的模型 Sonnet 5.5 的两倍。根据 Vercel 的数据,这是模型发布头两周有史以来最快的采用速度,对模型的创造者 TypeSafe AI 而言是一项重大成就。

Jev 于9月15日以限量发布的形式推出,被设计为一个在若干预定输出之间进行选择的轻量工具。限制输出让模型的运行比 Sonnet 等替代方案更便宜、更快速,使其非常适合快速对海量数据进行分类。这一新方法在 Jev 发布后的几周内引发了巨大关注——促使 OpenAI 和亚马逊等公司推出竞争产品——但直到现在,几乎没有硬数据来支撑这种热度。

数据来自 Vercel 的 AI 网关——一个类似于 OpenRouter 的统一 API 服务。这一视角必然有局限——尤其可能低估 OpenAI 和 Anthropic 等提供自有 API 的大型实验室——但它表明围绕 Jev 的热度确实转化成了实际使用量。事实上,Vercel 本身就是 Jev 的早期采用者,用它替换 GPT-6 Luna 来分类有害指令。

报告还显示开源模型的势头持续:开源模型目前占 Vercel 网关处理 token 总量的70%以上,约占总支出的25%。

虽然开源模型正在占据更大的市场份额,但整个市场也在快速增长。前沿实验室的支出增长了十倍,即使它在总支出中的占比在缩小——这印证了一种观点:前沿模型与开源替代品最终可能是互补而非竞争关系。

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Jev is Vercel's fastest-adopted AI model ever | TechCrunch

In this photo illustration, the Vercel logo is seen displayed on a smartphone screen.
Image Credits:Thomas Fuller/SOPA Images/LightRocket / Getty Images

Jev has become the fastest adopted AI model ever — at least by some measures.

Vercel data published on Thursday shows that, within two weeks of its launch, the buzzy decision model was being used by 35% of paid teams, with nearly double the reach of the second most popular model, Sonnet 5.5. It’s the fastest adoption a model has ever seen in its first two weeks, according to Vercel’s data, and a major accomplishment for the model’s creators, TypeSafe AI.

Published in limited release on September 15, Jev is designed as a lightweight tool for choosing between a few predetermined outputs. Limiting the outputs lets the model run cheaper and faster than alternatives like Sonnet, making it ideal for classifying large quantities of data quickly. That new approach has attracted significant buzz in the weeks since Jev’s release — inspiring competing offerings from OpenAI and Amazon , among others — but until now there has been little hard data to back up the good vibes.

The data comes from Vercel’s AI gateway , a unified API service similar to OpenRouter. It’s a necessarily limited view — particularly at risk of undercounting major labs like OpenAI and Anthropic that offer their own APIs — but it shows the buzz around Jev really did translate into actual usage. In fact, Vercel was an early adopter of Jev, using it to replace GPT-6 Luna for classifying harmful commands.

The report also shows continuing momentum for open source models, which now account for more than 70% of the tokens processed through Vercel’s gateway and nearly 25% of the total spend.

While open source models are capturing a larger share of the market, the market is also growing fast. Spending on frontier labs has grown tenfold, even as it accounts for a smaller share of overall spend, giving credence to the idea that frontier models and open source alternatives may turn out to be complementary rather than competitive .

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据Vercel本周四公布的数据,Jev已成为有史以来采用最快的AI模型——至少在某些衡量标准下如此。数据显示,在发布两周内,这一备受关注的决策模型已被35%的付费团队使用,覆盖面几乎是排名第二的Sonnet 5.5的两倍,创下模型发布前两周采用速度的纪录,对开发方TypeSafe AI而言是一大成就。Jev于9月15日限量发布,设计为在少数预设输出之间进行选择的轻量级工具。限制输出使其比Sonnet等替代方案运行更便宜、更快,适合快速分类大量数据。该模式引发热议,并促使OpenAI和亚马逊等推出竞品。

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