Gemini Developer API 与 Gemini Enterprise Agent Platform 的对比

from google import genai

client = genai.Client()

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="Explain how AI works in a few words",
)
print(interaction.output_text)

from google import genai

client = genai.Client(
    enterprise=True, project="your-project-id", location="global"
)

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="Explain how AI works in a few words",
)
print(interaction.output_text)

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({});

const interaction = await ai.interactions.create({
  model: "gemini-3.8-flash",
  input: "Explain how AI works in a few words",
});
console.log(interaction.output_text);

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  enterprise: true,
  project: "your_project",
  location: "global",
});

const interaction = await ai.interactions.create({
  model: "gemini-3.8-flash",
  input: "Explain how AI works in a few words",
});
console.log(interaction.output_text);

from google import genai

client = genai.Client()

response = client.models.generate_content(
    model="gemini-3.8-flash", contents="Explain how AI works in a few words"
)
print(response.text)

from google import genai

client = genai.Client(
    vertexai=True, project='your-project-id', location='us-central1'
)

response = client.models.generate_content(
    model="gemini-3.8-flash", contents="Explain how AI works in a few words"
)
print(response.text)

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({});

async function main() {
  const response = await ai.models.generateContent({
    model: "gemini-3.8-flash",
    contents: "Explain how AI works in a few words",
  });
  console.log(response.text);
}

main();

import { GoogleGenAI } from '@google/genai';
const ai = new GoogleGenAI({
  vertexai: true,
  project: 'your_project',
  location: 'your_location',
});

async function main() {
  const response = await ai.models.generateContent({
    model: "gemini-3.8-flash",
    contents: "Explain how AI works in a few words",
  });
  console.log(response.text);
}

main();

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "google.golang.org/genai"
)

// Your Google API key
const apiKey = "your-api-key"

func main() {
  ctx := context.Background()
  client, err := genai.NewClient(ctx, nil)
  if err != nil {
      log.Fatal(err)
  }

  // Call the GenerateContent method.
  result, err := client.Models.GenerateContent(ctx, "gemini-3.8-flash", genai.Text("Tell me about New York?"), nil)

}

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "google.golang.org/genai"
)

// Your Google Cloud project
const project = "your-project"

// A Google Cloud location like "us-central1"
const location = "some-gcp-location"

func main() {
  ctx := context.Background()
  client, err := genai.NewClient(ctx, &genai.ClientConfig
  {
        Project:  project,
      Location: location,
      Backend:  genai.BackendVertexAI,
  })

  // Call the GenerateContent method.
  result, err := client.Models.GenerateContent(ctx, "gemini-3.8-flash", genai.Text("Tell me about New York?"), nil)

}