Jev gains popularity as a faster, cheaper alternative to major AI models

Most AI companies are racing to build bigger, smarter language models. TypeSafe AI decided to build a faster, dumber one. That’s not an insult. It’s the whole point. Jev, the startup’s new AI model, launched on September 15 and immediately attracted so much developer interest that it overloaded its own API. The model doesn’t write poetry or generate code. Instead, it makes structured decisions, things like classifying emails, routing support tickets, or flagging transactions, at speeds and prices that make traditional large language models look like hiring a surgeon to apply a Band-Aid. The speed and price gap is hard to ignore Jev processes requests in 70 to 500 milliseconds, with a median response time hovering around 0.44 to 0.48 seconds. The pricing is even more striking: $0.042 per million input tokens, with outputs provided entirely free. In benchmarks conducted at Vercel, Jev proved 5 to 18 times faster than certain OpenAI models on specific classification tasks. For email classification, it came in at 10 to 20 times cheaper than Google’s Gemini model. TypeSafe AI describes it as a “System One model,” borrowing the term from behavioral psychology. System One thinking is the ...