Nano Banana Pro: Google's AI Image Model for Character Consistency

Nano Banana Pro is Google DeepMind's flagship image generation and editing model, built on Gemini 3 Pro — and it's the first AI image model that reliably keeps the same character, product, or object looking identical across dozens of generations. If you've ever generated a "consistent" AI character only to watch their face subtly drift by image five, this is the model built to fix that. Here's what it actually does, what it costs directly, and how to access it without paying Google's enterprise-grade per-image rate.

What makes Nano Banana Pro different

Most AI image models treat every generation as an independent event — feed the same prompt twice and you'll get two different-looking results. Nano Banana Pro was specifically built to solve three problems that plague AI image work at scale:

1. Character and subject consistency across multiple generations and multi-turn edits, using reference images to anchor identity
2. Accurate, legible text rendering inside images — a historic weak point for diffusion models — including multi-language text
3. Complex compositional instructions, following multi-part prompts (specific layouts, product placements, diagrams) more reliably than earlier models

That combination makes it the go-to choice for anything that needs to look like the same thing across a series: a recurring character in a video series thumbnail set, a product shown consistently across a full ad campaign, or a slide deck with accurate embedded text and diagrams.

What it costs directly

Nano Banana Pro isn't priced like a consumer app — it's metered like enterprise infrastructure. On Google's own API pricing, Nano Banana Pro output runs $120 per million tokens, which works out to roughly $0.134 per generated image at 1K resolution. That's meaningfully more expensive than most competing models, which is exactly why Google shipped a cheaper sibling.

Nano Banana 2 (built on the faster Gemini 3.1 Flash backbone) cuts that to about $0.067 per image — roughly half the Pro price — while keeping most of the consistency and text-rendering gains. For high-volume workflows, Nano Banana 2 is now the more realistic default; Pro remains the top choice when a single generation needs maximum fidelity and you're not running thousands of them.

Consumers can access it too — with limits

If you're using the Gemini app directly, Nano Banana Pro is available under "Create images" with the Thinking model, but free-tier users get a limited quota of Nano Banana Pro generations before reverting to the original Nano Banana model. Full, unthrottled access requires a Google AI Plus, Pro, or Ultra subscription — pricing that stacks on top of whatever you're already paying for video generation tools.

Nano Banana Pro vs Nano Banana 2: which one to use

Both models share the same core strengths — character consistency, text rendering, complex prompt-following — inherited from the same Gemini lineage. The difference comes down to where you spend the budget:

1. Use Nano Banana Pro when a single image needs to be right the first time: hero product shots, a key visual for a campaign, a thumbnail you'll reuse everywhere.
2. Use Nano Banana 2 when you're generating variations, iterating quickly, or producing at volume — a full series of consistent character thumbnails, dozens of product angle shots, or bulk social assets.

Where Nano Banana Pro fits in a video-first workflow

Image consistency matters most when it has to match something else — a video, a brand kit, a recurring character across a content series. That's the gap most standalone image tools leave open: you generate a consistent character in Nano Banana Pro, then have to manually recreate that same look when you move to video generation in a separate tool.

Coverr's AI Studio includes Nano Banana Pro, Nano Banana 2, and Nano Banana 2 Lite alongside Veo 3.1, Kling 3.0, Sora, and Seedance 2.5 for video — under one login, one credit pool, starting at $4.20/mo. That matters specifically for consistency workflows: generate your anchor character or product in Nano Banana Pro, then carry that same visual reference straight into video generation without re-uploading or re-describing it in a different tool.

There's also Coverr's Recreate workflow, which flips the consistency problem around: instead of generating a character from scratch and hoping it stays consistent, you can start from a real clip in the stock library and use Nano Banana Pro to edit or extend it — keeping the real lighting and composition as your consistency anchor instead of a text description.

Getting started

Coverr's free tier includes 1,000 AI credits a month, enough to test Nano Banana Pro and Nano Banana 2 side by side on the same reference image and see which fits your consistency needs before spending anything. For the technical deep-dive on the underlying model, Google DeepMind's Nano Banana Pro announcement covers the full capability set.

Ready to test character consistency for yourself? Try Nano Banana Pro free on Coverr — 1,000 AI credits every month, no card required.