Nano Banana Pro is designed for professional creators needing fast, high-quality visual content with deep reasoning and real-world knowledge integration. It supports generation of images up to 4K resolution with advanced control over effects like lighting, focus, and color grading.
Pro demonstrates substantial improvements in resolution clarity, artifact reduction, and physical accuracy versus predecessor Nano Banana (Gemini 2.5 Flash Image). It outperforms competitors in human-rated benchmarks focusing on prompt alignment, overall preference, and visual quality.
Gemini 3 Pro Image API focuses on creating original images from textual descriptions and contextual instructions. It is optimized for realism, composition accuracy, and reliable text rendering within images. The model understands complex prompts and translates them into visually consistent outputs that align with brand, style, and functional requirements.
It transforms detailed text descriptions into complete, polished visuals. It supports a wide range of styles, from photorealistic scenes to clean, design-oriented graphics, making it suitable for marketing, UI concepts, and editorial illustrations.
The model understands how objects, environments, and text interact in the real world. This enables the creation of images that feel logical and coherent, whether the output is a product mockup, an infographic, or a conceptual illustration.
Gemini 3 Pro Image Edit API is designed for controlled image modification. Instead of regenerating visuals from scratch, it allows users to edit existing images using natural language. This includes adjusting visual elements, correcting details, replacing objects, refining typography, or modifying lighting and perspective while preserving the original structure of the image.
The model allows users to modify images by simply describing the desired change. Lighting adjustments, background replacements, object edits, and stylistic refinements can be performed without traditional design tools, dramatically reducing iteration time.
Unlike full regeneration, Image Edit maintains the original layout and composition of the source image. This makes it ideal for fine-tuning visuals, correcting mistakes, or adapting existing assets for new contexts while keeping visual identity intact.
Designers can generate initial concepts with Gemini 3 Pro Image and then refine them using Image Edit, creating a smooth end-to-end creative workflow entirely powered by AI.
Marketing teams can rapidly produce campaign visuals, adjust messaging or branding elements, and localize images without rebuilding assets from scratch.
Both APIs are well suited for UI mockups, product visuals, and layout experiments where clarity, consistency, and readable text are essential.
Developers can integrate Gemini 3 Pro Image and Image Edit into scalable pipelines for automated visual generation, asset updates, and content personalization.
vs GPT-Image-1: Gemini 3 Pro Image Edit excels in specialized image-to-image editing with advanced control over lighting, focus, and localized edits, while GPT-Image-1 offers strong multimodal integration for iterative generation and editing but with slightly less granular editing precision.
vs FLUX.1 Kontext: Gemini 3 Pro provides more comprehensive control over camera angles, lighting, and high-resolution output, positioning it as a superior choice for studio-quality image editing and complex image synthesis.
vs Nano Banana (Gemini 2.5 Flash Image): Gemini 3 Pro advances on this foundation with 4K native output, improved real-world knowledge integration, and enhanced precision in localized edits and text rendering, making it the more professional-grade model.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "google/gemini-3-pro-image", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "google/gemini-3-pro-image", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"google/gemini-3-pro-image","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Gemini 3 Pro Image (Nano Banana Pro) This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Gemini 3 Pro Image (Nano Banana Pro) has a 65,536 tokens context window and can return up to 32,768 tokens.
Gemini 3 Pro Image (Nano Banana Pro) takes image, text as input and returns text.
Use google/gemini-3-pro-image as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Gemini 3 Pro Image (Nano Banana Pro) is priced at input $2.6 / 1M tokens, output $15.6 / 1M tokens, cached input $0.26 / 1M tokens.
Yes, Gemini 3 Pro Image (Nano Banana Pro) can stream responses as they are generated.
Yes, Gemini 3 Pro Image (Nano Banana Pro) accepts image input alongside text.
Gemini 3 Pro Image (Nano Banana Pro) was built by Google.
