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.
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:
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.
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.
| Access route | Cost per image (approx.) | Best for |
|---|---|---|
| Nano Banana Pro (Google API, direct) | ~$0.134 | Single high-stakes generations, maximum quality |
| Nano Banana 2 (Google API, direct) | ~$0.067 | High-volume production pipelines |
| Gemini app (consumer) | Free tier (limited quota), then Google AI Plus/Pro/Ultra subscription | Casual, occasional use |
| Coverr (Basic, yearly) | Included in $4.20/mo, 1,000 free credits/mo on free tier | Creators who also need AI video, audio, and a stock library |
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.
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:
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.
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.
Nano Banana Pro (also called Gemini 3 Pro Image) is Google DeepMind's flagship AI image generation and editing model, built for character/subject consistency across generations, accurate text rendering, and complex compositional prompts.
On Google's direct API, Nano Banana Pro costs roughly $0.134 per generated image ($120 per million tokens). Its cheaper sibling, Nano Banana 2, costs about $0.067 per image. Both are included in Coverr's AI Studio from $4.20/mo, with 1,000 free credits monthly on the free tier.
Nano Banana Pro (Gemini 3 Pro backbone) prioritizes maximum quality and reasoning for single high-stakes generations. Nano Banana 2 (Gemini 3.1 Flash backbone) delivers similar consistency and text-rendering quality at roughly half the cost, built for high-volume production use.
Yes, with limits — the Gemini app gives free-tier users a limited quota of Nano Banana Pro generations before reverting to the base Nano Banana model. Coverr's free tier separately offers 1,000 renewable AI credits per month across Nano Banana Pro, Nano Banana 2, and 20+ other models.
Not directly — it's an image model. But platforms that bundle image and video generation, like Coverr's AI Studio, let you generate a consistent character or product with Nano Banana Pro and carry that same visual reference into video generation (Veo 3.1, Kling 3.0, Sora) without switching tools.
Ready to test character consistency for yourself? Try Nano Banana Pro free on Coverr — 1,000 AI credits every month, no card required.