Jev is Vercel’s fastest-adopted AI model ever

Jev, the decision model from Typesafe AI, reached 35% of paid teams on Vercel's AI gateway within two weeks of its September 15 limited release, nearly double the reach of the second most popular model, Sonnet 5.5, according to Vercel data published Thursday. Vercel's AI gateway report also found open-source models now account for more than 70% of tokens processed and nearly 25% of total spend, while spending on frontier labs has grown ten-fold. Vercel itself adopted Jev to replace GPT-6 Luna for classifying harmful commands.

Jev has become the fastest adopted AI model ever — at least by some measures. Vercel data published on Thursday https://vercel.com/blog/ai-gateway-production-index-october-2026 shows that, within two weeks of its launch, the buzzy decision model https://techcrunch.com/2026/09/18/a-new-kind-of-ai-model-from-a-chatgpt-inventor-is-thrilling-developers/ 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 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 https://techcrunch.com/2026/09/30/openais-jev-clone-could-help-the-frontier-lab-stop-its-swarming-agents/ and Amazon https://techcrunch.com/2026/10/01/amazon-releases-its-own-jev-clone-as-decision-models-flood-the-web/ , among others — but until now there has been little hard data to back up the good vibes. The data comes from the Vercel’s AI gateway https://vercel.com/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 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 https://techcrunch.com/2026/07/07/why-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet/ .