如下为模型以及 model 传参示例：
| 模型 | 传入 model 参数 |
| gemini-3.5-flash | google/gemini-3.5-flash |
| gemini-3.1-pro-preview | google/gemini-3.1-pro-preview |
| gemini-3.1-flash-lite | google/gemini-3.1-flash-lite |
| gemini-3-flash-preview | google/gemini-3-flash-preview |
| gemini-2.5-pro | google/gemini-2.5-pro |
| gemini-2.5-flash | google/gemini-2.5-flash |
| gemini-2.5-flash-lite | google/gemini-2.5-flash-lite |
具体可用模型请以厂商文档为准，查看 所有模型。
一、调用示例
调用模型前请确保已绑定 Google AI Studio 厂商的 API Key，前往控制台 模型与密钥页面 绑定。
二、SDK
使用 AI SDK// Node.js 18+import { createAiGateway } from "@edgeone/makers-models-provider";import { generateText } from "ai";const aiGateway = createAiGateway({ apiKey: process.env.MAKERS_MODELS_KEY,});const { text } = await generateText({ model: aiGateway("google/gemini-3.5-flash"), prompt: "What can you do?",});使用 Google Gen AI JS SDK// Node.js 20+import { GoogleGenAI } from "@google/genai";const ai = new GoogleGenAI({ apiKey: process.env.MAKERS_MODELS_KEY, httpOptions: { baseUrl: "https://ai-gateway.edgeone.link/v1/google-ai-studio", }});const response = await ai.models.generateContent({ model: "google/gemini-3.5-flash", contents: "What can you do?",});console.log(response.text);
三、cURL
使用 OpenAI Chat Completions API 请求curl -i -X POST "https://ai-gateway.edgeone.link/v1/chat/completions" \\ -H "Authorization: Bearer $MAKERS_MODELS_KEY" \\ -H "Content-Type: application/json" \\ -d '{ "model": "google/gemini-3.5-flash", "messages": [ { "role": "user", "content": "What can you do?" } ] }'