Nano Banana Pro (Gemini 3 Pro Image)

Google chatimage_genreasoningvision

API ID: google/gemini-3-pro-image-20260528

Compare Calculate
Input Price
$2.00
/1M tokens
Output Price
$12.00
/1M tokens
Cached Input
$0.20
Save 90%

About Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

💰
Price Ranking
#1151 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
33k
Release Date
2026-06-18
Capabilities
chat image_gen reasoning vision
Input Modalities
imagetext
Output Modalities
imagetext

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$4.50
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$138.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$189.00
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Nano Banana Pro (Gemini 3 Pro Image) Current Free Free 131k chat image_gen reasoning vision
Gemma 3n 4B Free Free 33k chat
Gemini 2.5 Flash Image Preview (Nano Banana) Free Free 33k chat vision image_gen
Gemma 3n 2B (free) Free Free 8k chat tool_use
Gemma 1 2B Free Free 8k chat
Gemma 1 2B Free Free 8k chat
View All Google Models →

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💡 Cheaper Alternatives

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$0.03 $0.10 131k

Cross Brand

GTE-Base Other
$0.0050 Free 512
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🚀 Quick Start

Get started with Nano Banana Pro (Gemini 3 Pro Image) API

Google AI Python SDK 
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-3-pro-image-20260528")

response = model.generate_content("Hello!")
print(response.text)

Resources

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