判断模型Judgment Model

JevJev（TypeSafe AI）

Jev 是 TypeSafe AI 推出的判断模型，发布于 2026-09。Jev is a Judgment Model released by TypeSafe AI, launched on 2026-09.

TypeSafe AI 发布的 System One 判断模型。不生成文本，仅返回带校准概率的类型化判断（Choice 选择 / Score 评分 / Noul 空值），专为分类、路由、评分、抽取、分支等自动化决策场景设计。并行计算带来极低延迟与成本，输出 token 永久免费。A System One model by TypeSafe AI that returns typed, probability-calibrated judgments (Choice / Score / Noul) instead of free-form text — purpose-built for classification, routing, scoring, extraction and branching in automated pipelines. Parallel computation yields extremely low latency and cost; output tokens are free forever.

模型参数与规格Specifications

厂商	TypeSafe AI
类型	判断模型
参数规模	未公开
开源/闭源	闭源
架构	System One 判断架构（并行计算，非自回归）
输入价格	$0.042/M tokens
输出价格	$0/M tokens
语言	多语言
发布时间	2026-09
评分	4.6 / 5
能力	classification、routing、scoring、judgmentclassification、routing、scoring、judgment
标签	判断模型、分类、路由、评分、自动化Judgment Model、Classification、Routing、Scoring、Automation
优点	成本极低（输出永久免费）、速度极快（并行计算，毫秒级）、校准概率可量化不确定性、零类型幻觉（不编造选项）、适合自动化决策 / 路由 / 审核Extremely low cost (output free forever)、Blazing fast (parallel compute, millisecond-level)、Calibrated probabilities quantify uncertainty、Zero type-hallucination (never invents options)、Ideal for automated decisions / routing / moderation
注意事项	不生成文本，无法对话或写作、不适合创意与开放问答、事实正确性取决于输入质量、生态与工具链较新Cannot generate text — no chat or writing、Unsuited for creative or open-ended Q&A、Factual correctness depends on input quality、Ecosystem and tooling still nascent

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关于 Jev 的常见问题Frequently Asked Questions about Jev

Jev 是免费的吗？Is Jev free?

Jev 目前以付费 API / 平台调用为主，可关注官方是否提供免费试用额度。Jev is mainly available via paid API/platform calls; watch for official free trial quotas.

Jev 的上下文窗口有多大？How large is Jev's context window?

Jev 的上下文窗口为 -，适合处理长文档与多轮复杂对话。Jev's context window is -, suitable for long documents and multi-turn complex dialogue.

Jev 是开源还是闭源？Is Jev open-source or closed-source?

闭源模型，主要通过官方 API 或平台使用。Closed-source model, mainly available via official API or platform.

Jev 适合用来做什么？What is Jev good for?

Jev 的主要能力包括 classification、routing、scoring、judgment，可用于相关场景的创作、分析与自动化任务。Jev's main capabilities include classification、routing、scoring、judgment, usable for creation, analysis and automation in related scenarios.