LangChain published an evaluation testing the reliability of TypeSafe's new model Jev for scoring Agents. The article states Jev cost $0.34 total, over 80x cheaper than Claude Sonnet 4.6 at $28.17, but the experiment repo README also lists GPT-5.6 Luna at $0.39 and GPT-5.6 Terra at $2.90, which the article omits.
LangChain 发了篇评测，测 TypeSafe 的新模型 Jev 给 Agent 打分靠不靠谱。 文章开头的结论里有一句：跑完全部测试，Jev 总共花 $0.34，Claude Sonnet 4.6 花 $28.17。便宜 80 多倍。 但去实验仓库的 README 看完整成本表，还有两行文章结论没提： GPT-5.6 Luna，$0.39 GPT-5.6 Terra，$2.90
James Long uses Jev to tackle the most annoying problem in personal finance tools: generating good payee descriptions from raw bank data. It got about 95% of the way there on the first try, with many ways to improve the prompting.
A developer uses Jev to decide buy or sell and executes real trades on Kuru's on-chain order book via Monad every 300ms block. Link
Erik Spock Gafni suggests that those who make a lot of profit from Jev trading donate some of their profits to charity.