Gemini 3 Pro Image is the top tier of Google's Gemini image line — the model also called Nano Banana Pro. It exists for the two things lighter tiers are worst at: text that has to be readable, and detail that has to survive being enlarged.
The clearest reason to pay for the top tier: words inside the picture that read as words.
Fine structure holds up when the image is enlarged rather than dissolving into texture.
AI-generated reference frames chosen for the two things this tier is bought for — lettering that has to be read, and dense structure that has to survive being looked at closely. They illustrate the territory rather than being outputs captured from this specific model.
Gemini 3 Pro Image is the top tier of Google's Gemini image models, and the same model widely known as Nano Banana Pro. It matters to know what a top tier actually buys, because the honest answer is not 'better pictures' in general — for a described scene with no text in it, the Flash tier is often indistinguishable and costs less.
What the Pro tier buys is reliability on the two jobs that break lighter models. The first is text rendered inside the image: labels, headings, packaging copy, poster type, the words on a diagram. The second is fine structure at size, where a lighter tier produces something that reads correctly at thumbnail scale and falls apart when you look closely.
If neither of those describes your job, the money is better spent on more runs at a lighter tier. On Kavel it runs through a managed provider channel, and the credit estimate shows before you commit.
Creative engine
Text inside the frame, or detail that has to hold at size. Otherwise a lighter tier does the same job cheaper.
Gemini 3 Pro Image is the product-line name for the model known as Nano Banana Pro.
The failure mode lighter tiers are known for — garbled lettering — is what this tier is bought to avoid.
Unusual pricing shape: only 4K costs more here, so there is little reason to run at 1K.
Use the top tier when the image would be wrong rather than merely softer if the model got it slightly off — a poster with a misspelled headline is not a lesser poster, it is an unusable one. That is the test worth applying. Packaging, posters, diagrams, magazine layouts, anything with a label on it, and anything destined for print all pass it. A described scene with no lettering, a portrait, a background plate, or a quick social image do not, and those are better served by the Flash tier at a lower cost or the Lite tier at a flat one. Because 1K and 2K are priced the same here, 2K is the sensible default whenever you do choose this tier.
If a small error makes the image unusable rather than just weaker, this is the tier for it.
It costs the same as 1K on this tier, so running at 1K gives up detail for nothing.
For scenes without type, the cheaper tier is usually indistinguishable and lets you run more attempts.
The capabilities that justify the top position, rather than the ones every tier in the line shares.
Headings, labels and packaging copy rendered as readable type rather than approximate lettering.
Fine structure that stays coherent when the image is viewed at full size or printed.
Generate from a description, or work from reference photos.
Output shaped for print, poster, social or wide formats.
The generation parameters for this tier. It is the same model as Nano Banana Pro, so these figures match that page.
Four steps, with the second one doing most of the work on a text-bearing image.
Is there type in the frame, or detail that must hold at size? If not, Flash costs less.
Put the text you want in quotation marks in the prompt. Describing it instead invites the model to invent wording.
2K costs the same as 1K here. Go to 4K when the image will be printed or enlarged.
Confirm the estimate, run it, and read the lettering before you accept the result.
Jobs where a small model error is a failed image rather than a slightly weaker one.
A headline that has to spell correctly and sit properly in the composition.
Product copy rendered on the pack, where garbled type makes the mockup useless.
Many labelled parts that all have to stay legible and in the right place at once.
Output that will be enlarged, where detail has to survive rather than merely suggest itself.
One credit pool covers Nano Banana images and Seedance and Veo video. The cost shows before every run, and failed jobs are not charged. Use a subscription for ongoing work, or a one-time pack when you just need to top up.
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One-time top-ups — buy extra credits any time you run low.
What's included
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What's included
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Charges appear as “KAVEL AI” on your card statement. You can cancel any time from Settings → Billing; cancellation takes effect at the end of the period you already paid for.
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Use one balance across every supported image and video model — ten of them today, listed below — and check the credit cost before each request.
Video models
Image models
Model credit guide
You're only charged for successful generations. The exact estimate in the generator varies by model, length, resolution, audio, and number of images.
| Type | Model | Credit cost |
|---|---|---|
| Video | Seedance 2.0 | 5s 720p image-to-video ≈ 188 credits; text-to-video ≈ 308 credits. Scales with resolution and length. |
| Video | Seedance 2 Fast | Faster and lower cost. 5s 720p text-to-video ≈ 248 credits. |
| Video | Seedance 2 Mini | The cheapest Seedance tier. 5s 720p ≈ 154 credits, 5s 480p ≈ 72 credits. |
| Video | Seedance 1.5 Pro | Audio doubles the rate. 5s 720p ≈ 27 credits silent, ≈ 53 with audio; 1080p ≈ 57 and ≈ 113. |
| Video | Veo 3.1 | Billed per video, not per second (Lite tier). About 45 credits at 720p and 53 at 1080p. |
| Video | Kling 3.0 | Audio raises the rate. 5s 720p ≈ 105 credits silent, ≈ 150 with audio; 1080p ≈ 135 and ≈ 203. |
| Video | MiniMax H3 | Fixed 2K, no resolution ladder. Priced per second — a 5s clip ≈ 158 credits. |
| Image | Nano Banana 2 | Generate or edit from text and images. About 8 credits per 1K image, 12 at 2K, 18 at 4K. |
| Image | Nano Banana Pro | Consistent run times across generations. About 12 credits per 1K or 2K image, 21 at 4K. |
| Image | Nano Banana 2 Lite | Faster, simpler variant. A flat 8 credits per image at every resolution. Start here to test. |
| Image | GPT Image 2 | The lowest-cost image model here. About 3 credits per 1K image, 6 at 2K, 12 at 4K. |
| Image | Seedream 5.0 Lite | Flat pricing — about 8 credits per image whether you generate or edit. |
Common questions about Google's top Gemini image tier.
Yes. Gemini 3 Pro Image is the name inside Google's product line; Nano Banana Pro is the name it became known by. Same model and same credit cost.
It depends entirely on whether your image contains text or fine detail that has to hold at size. For a described scene with no lettering, the Flash tier is usually indistinguishable and costs less per run.
That is how this tier is priced — 1K and 2K are both 12 credits and only 4K rises, to 21. It means running at 1K on this tier gives up detail without saving anything.
Put the exact wording in quotation marks in your prompt rather than describing it. Then read the result before accepting it — no model guarantees correct lettering every run.
Yes, it takes reference photos as input as well as generating from a written description.
Credits are returned automatically, unless the request broke the content policy.
Open the generator, quote the exact text you need, pick 2K or 4K, and generate.
Examples made on Kavel with this model.
1K and 2K cost the same here, so 2K is the default worth taking.
