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  1. Home
  2. /Model
  3. /Google
  4. /gemini-3.1-flash-image / image-edit
Google
Gemini 3.1 Flash Image
$ 
Nano banana 2 api delivers 1M+ context and sub-second vision. Built for scale, Nano provides native video analysis and dense OCR at 1/10th the cost of Pro tiers. Access Nano through our optimized endpoint on GPTProto.com for production reliability.

Modalities

Input: TextInput: Image
Output: Image

Input

Output

Preview image
Next:
API Usage Examples
$ 
curl --request POST "https://gptproto.com/api/v3/google/gemini-3.1-flash-image/image-edit" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "images": [],
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "aspect_ratio": "16:9",
    "size": "1k",
    "output_formart": "png",
    "enable_base64_output": false,
    "enable_sync_mode": false
  }'
Gemini 3.1 Flash Image pricing

Start from the cost of a single sample and pick a testing budget. GPTProto rates are 40% below list price.

GPTProto · Price est.

Estimated from the rate card. Final charges may vary.
40% off
Cost per request$0.0402$0.0670

Top up

GPTProto vs official pricing.
Requests
You pay
40% off
$100
You receive$100.00

Save$66.63 (40%)vs Google official

Related Models
All Models
ModelResolutionInput → Output
Gemini 3.1 Flash ImageCurrent
$0.04 per time1K · 2K · 4K
Input: TextInput: Image
Output: Image
Seedream 5.0 Pro
$0.04 per time1K · 2K
Input: TextInput: Image
Output: Image
Gemini 3.1 Flash Lite Image
$0.02 per time1K
Input: TextInput: Image
Output: Image
GPT Image 2
$6.40 / $24.00 per 1M—
Input: TextInput: Image
Output: Image
Nano Banana 2
$0.04 per time1K · 2K · 4K
Input: TextInput: Image
Output: Image
Seedream 5.0 260128
$0.03 per time—
Input: TextInput: Image
Output: Image
Doubao Seedream 5.0 260128
$0.03 per time—
Input: TextInput: Image
Output: Image
Grok Imagine Image
$0.01 per time—
Input: TextInput: Image
Output: Image
Kling Image O1
$0.02 per time—
Input: TextInput: Image
Output: Image
GPT Image 1.5
$5.60 / $22.40 per 1M—
Input: TextInput: Image
Output: Image
Grok Imagine 0.9
—$0.14 per time—
Input: Text
Output: Image
Nano Banana Pro
$0.08 per time1K · 2K · 4K
Input: TextInput: Image
Output: Image
Grok 4 Image
$0.04 per time—
Input: Text
Output: Image
GPT Image 1 Mini
$1.75 / $5.60 per 1M—
Input: TextInput: Image
Output: Image
Image Watermark Remover
—$0.01 per time—
Input: Image
Output: Image
Image Zoom
—$0.02 per time—
Input: Image
Output: Image
Gemini 2.5 Flash Image Hd
$0.03 per time—
Input: TextInput: Image
Output: Image
Gemini 2.5 Flash Image
$0.02 per time—
Input: TextInput: Image
Output: Image
Qwen Image
$0.03 per time—
Input: Text
Output: Image
Flux Kontext Max
$0.06 per time—
Input: TextInput: Image
Output: Image
Flux Kontext Pro
$0.03 per time—
Input: TextInput: Image
Output: Image
Ideogram Reframe v3
$0.05 per time—
Input: Image
Output: Image
Ideogram Edit v3
$0.05 per time—
Input: Image
Output: Image
Ideogram Remix v3
$0.05 per time—
Input: Text
Output: Image
Midjourney
$0.06 per time—
Input: TextInput: Image
Output: Image

Nano banana 2 api Core Features

The Nano banana 2 api provides high-performance vision capabilities at a fraction of the cost.

Sub-second Nano Visual Inference

Nano banana 2 api is optimized for 200ms latency. Use Nano for real-time camera loops and instant object detection without the overhead of heavy models.

Sub-second Nano Visual Inference

Massive 1M Nano Context Window

Process over one million tokens with the Nano banana 2 api. Nano allows developers to analyze hour-long videos or massive document stacks in a single prompt.

Massive 1M Nano Context Window

Nano Dense OCR Accuracy

Nano banana 2 api provides 98% accuracy on complex table-to-markdown tasks. Nano handles high-resolution scans and handwritten notes with industrial precision.

Nano Dense OCR Accuracy

Nano Context Caching Savings

Reduce costs by 90% using the Nano banana 2 api native caching. Store frequent image sets in the Nano KV cache to speed up repeat API calls significantly.

Nano Context Caching Savings

Nano banana 2 api Common Questions

Expert insights on using the Nano banana 2 api for production-grade vision tasks. Learn about Nano performance, pricing, and integration steps for your project.

Is Nano banana 2 api suitable for live video?

The Nano banana 2 api is specifically optimized for low-latency visual tasks. With a Time-To-First-Token (TTFT) under 200ms for single-image prompts, Nano is ideal for live-camera agentic loops and real-time vision applications. Nano provides the speed necessary for interactive AI tools while maintaining high accuracy in object detection and spatial reasoning across varied lighting conditions and complex environments.

What is the context limit for Nano?

Nano offers a massive 1,048,576 token context window, which is enough to process up to an hour of video or thousands of document pages. This Nano banana 2 api capacity allows for deep "Visual RAG" workflows where you can query massive archives of technical diagrams or blueprints. For enterprise users, the context window can scale even further, ensuring Nano handles your most data-intensive multimodal tasks efficiently.

How does Nano handle data privacy?

Security is a core feature of the Nano banana 2 api on GPTProto.com. Under our enterprise agreement with Google, no data sent through the Nano api is used to train foundation models. This ensures that your proprietary images, sensitive documents, and private video feeds remain confidential. Nano provides industrial-grade privacy so you can build internal tools or customer-facing apps with full confidence in your data sovereignty.

Can I use Nano for retail analytics?

Yes, the Nano banana 2 api is perfect for high-volume retail environments. Nano can analyze storefront camera feeds to track stock levels, monitor foot traffic, and assess customer sentiment in real-time. Because Nano provides high-speed inference at a low cost, it is feasible to run continuous monitoring loops across thousands of locations without the prohibitive expenses typically associated with Pro-tier multimodal models.

What is the cost of Nano input tokens?

Pricing for the Nano banana 2 api is highly competitive. Input tokens cost $0.10 per 1M, while output tokens are $0.40 per 1M. Additionally, Nano supports context caching at $0.025 per 1M tokens per hour for storage, which can lead to a 90% cost reduction for repeat calls. GPTProto.com offers flat-rate billing for Nano, meaning you won't see unexpected image-processing surcharges often found in direct cloud provider billing.

Does Nano support search grounding?

Absolutely. The Nano banana 2 api includes native integration for Google Search and Google Image Search. This allows Nano to verify facts against real-time data and generate or analyze imagery based on recent events, weather forecasts, or current market charts. This grounding capability makes Nano an excellent choice for news applications, dynamic reporting tools, and any workflow that requires up-to-the-minute visual context.

GPT Proto

Empowering AI Innovation with Global Scale and Stability:

With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

Global Infrastructure, Local Compliance:

To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

Built to Scale:

We understand that stability is paramount. Our platform is built on a robust, decentralized architecture supporting dynamic Auto-scaling. Whether you are running a pilot or handling millions of concurrent requests, our system expands instantly to meet demand—guaranteeing that your business never outgrows our infrastructure.

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