Access 3 Nace.AI models through the OpenRouter unified API 包括 Drex Max、Drex v2.0 和 Drex v1.5. Generate 结构化决策 and compare pricing, output modalities, and capabilities between different Nace.AI models.
Nace.AI 已处理的 token 在 OpenRouter 上
Drex Max is the largest decision model from Nace.AI, the successor to Drex v2.0. Given a state (text, JSON, or up to four images) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible and suits routing, classification, and policy checks that need a scored answer instead of prose.
Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to Drex v1.5. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible and suits routing, classification, and policy checks that need a scored answer instead of prose.
Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible and suits routing, classification, and policy checks that need a scored answer instead of prose. Open weights and runtime: https://github.com/nace-ai/drex-decision-models
在 OpenRouter 上使用 Nace.AI 模型进行开发的指南、实用教程、博客文章和工具。
OpenRouter 通过统一的兼容 OpenAI 的 API 提供 3 个 Nace.AI 模型。创建 OpenRouter API 密钥,将客户端指向 https://openrouter.ai/api/v1,并将模型设置为 nace-ai/drex-max 这样的 ID。快速入门提供了所有受支持 SDK 的请求示例。
https://openrouter.ai/api/v1
nace-ai/drex-max
在 OpenRouter 上的所有 Nace.AI 模型中,Drex Max 的上下文窗口最大,每次请求最多接受 262,144 个 token。
Drex Max 是 OpenRouter 上最近添加的 Nace.AI 模型,于 2026年10月21日 上架。