nanobananaproNano Banana Pro is a premium image generation and editing model built on Google's Gemini 3 Pro, tuned for top quality and reliability with an observed ~99% success rate. It handles both text-to-image and reference-image editing across 1K / 2K / 4K output, making it a fit for production work that demands consistent, high-quality results — product imagery, marketing creative, and design systems. Pair it with the faster, cheaper Nano Banana 2 (Gemini 3.1 Flash Image) for high-volume work; both are called through the same unified endpoint. Priced at $0.06 for 1K/2K and $0.12 for 4K, well below official rates.
Highest reliability available
Best output quality
$0.06 (1K/2K), $0.12 (4K)
Built for scale
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Nano Banana Pro is the community nickname for Google's Gemini 3 Pro Image model — API id gemini-3-pro-image-preview — the premium, top-quality tier of Google's image family. Where the faster Nano Banana 2 (Gemini 3.1 Flash Image) is tuned for speed and high volume, Nano Banana Pro is built for maximum fidelity, advanced visual reasoning, and dependable production-grade output.
Through APIMODELS you call Nano Banana Pro from a single unified endpoint for both text-to-image and reference-image editing, across 1K, 2K, and 4K, with an observed ~99% success rate. If you searched for 'Nano Banana Pro', 'Gemini 3 Pro Image', or the exact model name gemini-3-pro-image-preview, this Nano Banana Pro API page turns that model into a working call in minutes — no Google Cloud project, no Vertex AI setup, and no waitlist.
The Nano Banana Pro API is priced by resolution: $0.06 per image at 1K and 2K, and $0.12 at 4K — well below Google's official Gemini 3 Pro Image rates. There is no monthly fee and no minimum spend, and failed generations are never charged, so the cost of Nano Banana Pro stays predictable whether you run ten images or ten thousand.
Access is deliberately simple. One API key from APIMODELS unlocks Nano Banana Pro (Gemini 3 Pro Image) alongside every other model on the platform — no separate Google account, no Google Cloud billing project, and no Vertex AI. The Nano Banana Pro endpoint is reachable from anywhere, including mainland China. Point any OpenAI-style client at the endpoint, pass the model gemini-3-pro-image-preview, and you are generating.
The precise comparison, because it is the question everyone actually asks: Google lists Gemini 3 Pro Image at $120 per million image tokens, which works out to $0.134 for a 1K or 2K image and $0.24 at 4K. Nano Banana Pro here is $0.06 and $0.12 — 55% below official at 1K and 2K, and 50% below at 4K. One detail worth keeping: $0.06 also undercuts Google's own batch-tier rate of $0.067, and batch means submitting a job and waiting for it, while this price is the real-time one.
| Resolution | Google official | Google batch tier | Nano Banana Pro here | You save |
|---|---|---|---|---|
| 1K | $0.134 | $0.067 | $0.06 | 55% |
| 2K | $0.134 | $0.067 | $0.06 | 55% |
| 4K | $0.24 | $0.12 | $0.12 | 50% |
Getting started takes three steps. Sign up for APIMODELS and claim the free starter credit — enough to test Nano Banana Pro before you spend anything, which answers the common 'is Nano Banana Pro free' question: your first images are covered by that credit. Create one API key from the console.
Then send a request to the image endpoint with model gemini-3-pro-image-preview and your prompt; add one or more reference images to switch Nano Banana Pro from text-to-image into editing mode. Because the Nano Banana Pro API follows the same OpenAI-style request shape as the rest of the platform, most teams are live in a single afternoon, and promoting a draft from Nano Banana 2 to Nano Banana Pro is a one-line model-name change.
Nano Banana Pro inherits the advanced reasoning of Google's Gemini 3 Pro, which is what sets it apart from ordinary image models. It follows long, layered prompts — multiple subjects, precise spatial relationships, and brand rules — far more faithfully, so the picture you describe is the picture Nano Banana Pro returns.
Its standout strength is high-fidelity in-image text rendering. Nano Banana Pro lays legible, correctly-spelled typography into posters, packaging, UI mockups, and infographics — a task where most image models still fail. Combined with reference-image editing (send one or more images and describe the change), Nano Banana Pro handles both greenfield generation and precise edits of existing assets.
You control output across 1K, 2K, and 4K, and the flagship Nano Banana Pro channel holds an observed ~99% success rate — the most reliable tier in the family — so it is safe to build automated, high-volume pipelines on the Nano Banana Pro API without babysitting retries.
Every request also lets you pick the aspect ratio and resolution, so the same Nano Banana Pro prompt can produce a square thumbnail, a wide hero banner, or a 4K print master. That flexibility, plus consistent quality across a whole batch, is why teams standardize on Nano Banana Pro for anything customer-facing.
Four common ways teams put the Nano Banana Pro API into production:
Online sellers use the Nano Banana Pro API to turn a single product photo into a full set of on-model, lifestyle, and seasonal shots. Because Nano Banana Pro preserves fine texture and material detail, the variants stay faithful to the real product — critical on marketplaces like Amazon and Shopify where a misleading image means returns. Batch a catalog at 2K for listings, then re-render hero shots at 4K.
Marketing teams lean on Nano Banana Pro for hero banners, ad creative, and social visuals that carry real headline text inside the image. Its high-fidelity text rendering means the tagline is spelled correctly and legibly the first time, so designers stop retouching typography by hand. Generate localized variants of the same layout for every market in one automated pass.
Product and design teams generate icons, illustrations, empty-state art, and onboarding graphics with the Nano Banana Pro API, keeping a consistent house style across hundreds of assets. Reference-image editing lets you feed an existing asset and ask Nano Banana Pro for a matching variant, so the design system grows without a human redrawing every piece.
Global apps use Nano Banana Pro to localize visuals — swapping in-image copy, currency, and culturally-appropriate imagery per region — without a separate design cycle for each language. Since Nano Banana Pro is reachable from anywhere including mainland China and renders text faithfully across scripts, one pipeline covers every market you ship to.
Calling Nano Banana Pro through APIMODELS means one key for every model, transparent per-image pricing below official rates, and no Google Cloud or Vertex setup to wire up. You get failed-generations-not-charged billing, results hosted for you, and an endpoint that works from anywhere including mainland China.
Because the whole platform is built for developers, the Nano Banana Pro API sits behind the same OpenAI-style interface as the rest of the catalog — switch models by changing one string. Claim the free credit on signup, ship your first Nano Banana Pro (gemini-3-pro-image-preview) call today, and scale to production without renegotiating access.
The mistake to avoid first: the model string is gemini-3-pro-image-preview. The word nanobananapro is this page's slug and our internal channel name, and posting it as a model id returns a 400 with the list of accepted names. Send the Gemini id and you are on Nano Banana Pro.
Three entry points share one bearer key. POST /api/v1/images/generations creates a task, returns a taskId immediately and is polled with GET /api/v1/images/generations?task_id=… or answered on a callback_url — the right shape for batch and queue work. POST /api/v1/images/generations-sync returns the finished image in the same response, which is simpler behind an interactive UI. POST /api/v1/images/edit takes reference images. The body is identical across all three: model, prompt, optional image_urls, aspect_ratio (1:1, 4:5, 3:2, 16:9, 9:16, 2:3, 21:9 and others) and resolution set to 1k, 2k or 4k.
Two operational details that decide how you write the job. Nano Banana Pro returns a hosted URL rather than base64, so a result can go straight into a CMS; and those files are kept for 7 days, which is long enough for a pipeline to collect them but is not archival storage — copy anything you intend to keep into your own bucket in the same run. If you would rather see the exact payload before writing code, the playground at the top of this page fires the real request with your key.
From Google directly, the move is a base URL, a key and a couple of parameter names — the model underneath is the same Gemini 3 Pro Image, so prompts carry over unchanged and Nano Banana Pro produces what you were already getting. What disappears is the Google Cloud project, the billing account, the quota request and the organisation verification step.
From another aggregator, four questions separate a real price from a headline one: are failed generations billed, is a 4K request quietly served at a lower resolution, how long do result files survive, and does the provider say which upstream serves the model. Our answers are on this page: successful images only, no silent downgrade, 7 days, and Nano Banana Pro is Google's Gemini 3 Pro Image.
The cheapest way to be sure is to run both stacks for a day on your own briefs — same prompts, same aspect ratios, 2K on each — and compare the sets side by side. At $0.06 an image the experiment costs less than the meeting about it, and it answers the question in a way no comparison table can, this one included. If the volume then turns out to be draft work rather than final art, move that half of the pipeline to Nano Banana 2 at $0.05 and keep Nano Banana Pro for what ships.
The most common question is whether to use Nano Banana Pro or the standard Nano Banana 2. Reach for Nano Banana Pro (Gemini 3 Pro Image) when quality, detail, and reliability matter most — hero images, client work, and typography-heavy creative. Reach for Nano Banana 2 (Gemini 3.1 Flash Image) when you need speed and the lowest cost for high-volume drafting. Both run on the same endpoint and one API key, so a common pattern is to draft at volume on Nano Banana 2 and finish the keepers on Nano Banana Pro.
| Nano Banana Pro | Nano Banana 2 | |
|---|---|---|
| Model | Gemini 3 Pro Image | Gemini 3.1 Flash Image |
| Best for | Max quality, detail, reliability | Speed, high volume, low cost |
| Price (1K / 2K) | $0.06 | $0.05 |
| Price (4K) | $0.12 | $0.08 |
| Success rate | ~99% (flagship) | Fast tier |
| In-image text | High fidelity | Good |
Gemini 3 Pro Image (Pro) is a Image Generation API provided by nanobananapro. Nano Banana Pro is a premium image generation and editing model built on Google's Gemini 3 Pro, tuned for top quality and reliability with an observed ~99% success rate. It handles both text-to-image and reference-image editing across 1K / 2K / 4K output, making it a fit for production work that demands consistent, high-quality results — product imagery, marketing creative, and design systems. Pair it with the faster, cheaper Nano Banana 2 (Gemini 3.1 Flash Image) for high-volume work; both are called through the same unified endpoint. Priced at $0.06 for 1K/2K and $0.12 for 4K, well below official rates. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: 1K: $0.06, 2K: $0.06, 4K: $0.12.
Generate high-quality product visuals for online stores, ads, and marketing materials.
Create eye-catching visual content for social platforms to boost engagement and brand visibility.
Produce concept art for characters, scenes, and props to accelerate game development.
Design posters, banners, and promotional graphics at a fraction of traditional design costs.
Gemini 3 Pro Image (Pro) is available through APIMODELS at: 1K: $0.06, 2K: $0.06, 4K: $0.12. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same Gemini 3 Pro Image (Pro) model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
Nano Banana Pro is a premium image generation and editing model built on Google's Gemini 3 Pro, tuned for top quality and reliability with an observed ~99% success rate. It handles both text-to-image and reference-image editing — a fit for production work that demands consistent, high-quality output.
For top quality, the steadiest success rate, and production use → pick Pro (1K/2K $0.06, 4K $0.12). For speed and lower unit cost at volume → pick Nano Banana 2 on Gemini 3.1 Flash (1K/2K $0.05, 4K $0.08). Both are called through the same APIMODELS endpoint, so you can switch anytime.
Yes — 1K / 2K / 4K output plus reference-image editing. Through APIMODELS it is cheaper than official: 1K/2K $0.06, 4K $0.12, with one API key for Pro, Lite and every other image model, and failed tasks are not billed.
On APIMODELS, Gemini 3 Pro Image (Pro) runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports Text to Image, Image Editing, 1K/2K/4K Quality, 99% Success Rate, and you can weigh it on price and capability against other Image Generation models, then switch by changing a single model-name string — no new account or integration. Browse every Image Generation option with live pricing at apimodels.app/models.
Gemini 3 Pro Image (Pro) supports: Text to Image, Image Editing, 1K/2K/4K Quality, 99% Success Rate. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes Gemini 3 Pro Image (Pro) through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
We support Stripe (Visa, Mastercard, and other international cards) and Alipay. Credits are available instantly after payment.
Prompts shared by their authors — copy and adapt them. Each one credits its author and links back to the original post.
Condor Heroes characters teach English word dream
神雕侠侣主角趣味讲单词 dream 教程
by @nicekate8888
Pizza night UGC Domino’s vlog
VIDEO PROMPT — "Pizza Night Vlog" (UGC iPhone Style) Duration: 15 seconds | Aspect Ratio: 16:9 | Style: Authentic UGC / iPhone selfie-vlog, handheld, natural light, slight motion blur, TikTok/Reels energy — NOT cinematic, NOT overly polished. Feels like a real creator filmed this on their phone. Product Reference: Use the uploaded Domino's Pepperoni Pizza image as the only product reference. Keep crust thickness, cheese texture, bake color, pepperoni placement, and proportions identical in every cut — no redesigning the pizza. Camera: iPhone 15 Pro front + back camera switching, handheld, natural wobble, autofocus hunting slightly (realistic), vertical-style framing cropped to 16:9, occasional finger near lens edge, natural room lighting + phone flash reflections on the pizza box. Character Description Name (for reference): Mia Awoman in her mid-20s, naturally attractive and beautiful with an approachable, girl-next-door charm — not overly done up. Wavy sandy-blonde hair pulled back loosely, light natural makeup, wearing a cozy oversized cream sweater. Warm, genuine smile, expressive eyes, casual energetic personality like a real lifestyle vlogger. Sits in a softly lit modern kitchen/living room. Shot Breakdown SHOT 1 (0–2s) — The Grab Selfie-angle, she's mid-laugh holding up the Domino's box to camera. Quick jump cut. Dialogue: "Okay so it's officially pizza night—" SHOT 2 (2–4s) — The Open Cut to overhead handheld shot, box flips open, steam rising off the pizza, slight camera shake as she leans in. SHOT 3 (4–6s) — The Zoom Quick zoom-punch into the pizza, phone camera autofocus adjusts naturally, cheese and pepperoni in focus, ambient kitchen sounds. SHOT 4 (6–8s) — The Pull Cut to her hands lifting a slice, natural cheese pull, filmed from a slightly low candid angle like a friend filming across the table. SHOT 5 (8–10s) — The Reaction Cut back to selfie-cam, she takes a bite, eyes widen, quick genuine reaction. Dialogue: "Oh my god, that's so good." SHOT 6 (10–12s) — The Candid Cutaway Jump cut to a close, slightly shaky shot of the pizza box on the counter, her hand grabbing another slice off-frame, casual b-roll energy. SHOT 7 (12–14s) — The Wrap-Up Back to selfie angle, she grins at camera, holding slice up like a toast. Dialogue: "Dominos, y'all know what to do." SHOT 8 (14–15s) — End Tag Quick freeze/cut to the box logo close-up, natural handheld wobble, soft text overlay in casual font: "pizza night = solved 🍕" — cut to black. Look & Feel Warm indoor lighting, slightly grainy natural phone sensor look, imperfect framing, real reactions, minimal dialogue (3 short lines total), authentic pacing with hard jump cuts instead of smooth transitions. Negative Prompt cinematic grade, overly smooth camera moves, studio lighting, professional voiceover, staged acting, CGI look, plastic cheese, distorted pepperoni, extra fingers, warped hands, text glitches, logo distortion, overly polished commercial feel.
by @ShamiWeb3
The World's Unluckiest Superhero
A documentary about a superhero who has extremely bad luck and ends up saving people by accident through the destruction caused by his own misfortune. Dialogue in English. Scene direction with unique composition. Every cut, every camera angle, and every movement is of exceptionally high quality; the composition is guided by an experienced film director. The comedy is genuinely interesting, and throughout the 15 seconds everything unfolds in a perfectly crafted way, with a comedic payoff that can make anyone laugh.
by @NACHOS2D_
We curate copy-ready prompt libraries — every entry shows its full text and a sample result, ready to adapt.
How to get access, regional availability, and how this model compares with its alternatives.