Jev 已成为有史以来采用速度最快的 AI 模型 — — 至少按某些衡量标准而言。
Jev has become the fastest adopted AI model ever — at least by some measures.
Vercel 周四公布的数据显示，该模型在发布两周内被 35% 的付费团队使用，覆盖范围几乎是第二受欢迎模型 Sonnet 5.5 的两倍。根据 Vercel 的数据，这是模型在首两周内实现的最快采用速度，也是其创建者 Typesafe AI 的一项重大成就。
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.
Jev 于 9 月 15 日以限量版形式发布，旨在作为轻量级工具，用于在几个预设输出之间进行选择。通过限制输出，该模型的运行成本和速度优于 Sonnet 等替代方案，使其成为快速处理大量数据进行分类的理想选择。自发布以来，这种新方法引发了广泛关注 — — 甚至激发了 OpenAI、Amazon 等公司的竞争性产品 — — 但直至目前，尚缺乏硬数据来支撑这些积极反响。
Published in limited release on September 15, Jev is designed as a lightweight tool for choosing between a few pre-determined 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.
数据来源于 Vercel 的 AI 网关，这是一种类似于 OpenRouter 的统一 API 服务。这一视角必然有其局限性 — — 特别是可能低估 OpenAI、Anthropic 等拥有自身 API 的主要实验室的使用情况 — — 但它表明围绕 Jev 的热议确实转化为了实际使用。事实上，Vercel 本身就是 Jev 的早期采用者，曾用它取代 GPT-6 Luna 来分类有害命令。
The data comes from the 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.
该报告还显示，开源模型的势头持续增强，目前开源模型处理的 token 占 Vercel 网关总处理量的 70% 以上，且占总支出的近 25%。
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.
虽然开源模型正在夺取更大的市场份额，但整个市场也在快速增长。即使在整体支出中所占比例下降，前沿实验室的支出仍增长了十倍，这表明前沿模型与开源替代方案可能呈互补而非竞争的关系。
While open-source models are capturing a larger share of the market, the market is also growing fast. Spending on frontier labs has grown ten-fold, 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.