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Gemini 3 Pro Image (AI Studio)

Google AI Studio text-to-image preview model with 1K/2K/4K output, multi-image reference, Thinking + Search Grounding

Category Image Model ID gemini-3-pro-image-preview
Context window65K input / 32K output tokens
ResolutionDefault 1K, optional 2K / 4K, multiple aspect ratios
Reference imagesUp to 14 refs, supports character consistency

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่พ“ๅ…ฅ$2 / M tokens
่พ“ๅ‡บ$12 / M tokens

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Context window65K input / 32K output tokens
ResolutionDefault 1K, optional 2K / 4K, multiple aspect ratios
Reference imagesUp to 14 refs, supports character consistency
Key abilitiesSearch Grounding, Thinking reasoning, multi-turn generation/editing
ProviderGoogle AI Studio

API ่ฐƒ็”จ็คบไพ‹

Python

from google import genai
from google.genai import types
from google.api_core.client_options import ClientOptions

client = genai.Client(
    api_key="your-api-key",
    client_options=ClientOptions(api_endpoint="https://api.xairouter.com")
)

resp = client.models.generate_content(
    model="gemini-3-pro-image-preview",
    contents="Create a 2K retro-futuristic night city scene with neon and flying cars",
    config=types.GenerateContentConfig(
        response_modalities=["IMAGE", "TEXT"],
        image_config=types.ImageConfig(
            aspect_ratio="16:9",
            image_size="2K"
        ),
        tools=[{"google_search": {}}]      # optional: Search Grounding
    )
)

for part in resp.parts:
    if image := part.as_image():
        image.save("city.png")
    elif part.text:
        print(part.text)

cURL

curl -X POST \
  "https://api.xairouter.com/v1beta/models/gemini-3-pro-image-preview:generateContent" \
  -H "x-goog-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"parts":[{"text":"Generate a 1K studio portrait of a tech founder in soft rim light"}]}],
    "generationConfig": {
      "responseModalities": ["IMAGE"],
      "imageConfig": {"aspectRatio": "3:4", "imageSize": "1K"}
    },
    "tools": [{"googleSearch": {}}]
  }'
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