Gemini 4 Argonпревью

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-4-argon:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "Refactor this function for O(n) time and explain the change."}]}]
  }'

from google import genai

client = genai.Client()  # reads GEMINI_API_KEY

resp = client.models.generate_content(
    model="gemini-4-argon",
    contents="Refactor this function for O(n) time and explain the change.",
)
print(resp.text)

const res = await fetch(
  `https://generativelanguage.googleapis.com/v1beta/models/gemini-4-argon:generateContent`,
  {
    method: "POST",
    headers: {
      "x-goog-api-key": process.env.GEMINI_API_KEY,
      "content-type": "application/json",
    },
    body: JSON.stringify({ contents: [{ parts: [{ text: "Refactor this function for O(n) time and explain the change." }] }] }),
  }
);
console.log((await res.json()).candidates[0].content.parts[0].text);