Nano Banana 2 | Google AI Image Generation API

Name: Gemini 3.1 Flash Image Preview API
Brand: google
Price: 0.5 USD
Availability: InStock

API 使用

使用以下程式碼範例整合我們的 API：

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="google/gemini-3.1-flash-image-preview",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

模型介紹

Google gemini-3.1-flash-image-preview

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level v

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference, making complex image generation and iterative edits significantly more accessible. Aspect ratios can be controlled with the image_config API Parameter

Why It Looks Great

Large Language Model architecture for efficient processing
65536 context window for long document handling
Competitive pricing at $0.5/$3.0 per million tokens

Key Features

Context Window: 65536 tokens
Max Output: 65536 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Google
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	65536 tokens
Max Output	65536 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.5
Output	$3.0

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: google/gemini-3.1-flash-image-preview

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="google/gemini-3.1-flash-image-preview",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "google/gemini-3.1-flash-image-preview",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: google/gemini-3.1-flash-image-preview
Provider: Google

Gemini 3.1 Flash Image Preview API

google/gemini-3.1-flash-image-preview

關於 Gemini 3.1 Flash Image Preview 的常見問題

Gemini 3.1 Flash Image Preview API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $0.50,輸出每百萬 token $3.00。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

Gemini 3.1 Flash Image Preview 的上下文視窗有多大?+

Gemini 3.1 Flash Image Preview 每次請求最多支援 66K 上下文 token,輸出最多 66K token。

Gemini 3.1 Flash Image Preview 是否相容 OpenAI?+

WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Gemini 3.1 Flash Image Preview。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key；選用欄位取決於具體模型。

如何開始使用 Gemini 3.1 Flash Image Preview?+

登入 WaveSpeedAI，在 Access Keys 中建立 API Key，然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。

定價

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