# Nano Banana Pro vs Nano Banana 2.1 — draft on 2.1, finish on Pro

> Nano Banana Pro or Nano Banana 2.1? What the extra credits buy, how long each takes, and the draft-then-finish math that keeps Google's flagship affordable.

Published 2026-10-08 · eroq.ai — canonical: https://eroq.ai/blog/nano-banana-pro-vs-nano-banana-2-1


Google's Nano Banana models joined eroq in October 2026, and they split the work cleanly. [Nano Banana 2.1](/models/nano-banana-2-1) is the quick one: 31 credits / image, typically about 8 seconds a take, a broad style range and a good ear for plain sentences. [Nano Banana Pro](/models/nano-banana-pro) is the flagship of the line and the priciest image model on eroq: 124 credits / image, typically about 25 seconds, with the sharpest detail, the most accurate in-image text and the best prompt understanding of the family. The short answer: explore on 2.1, render the keeper on Pro, and skip Pro altogether when nobody will look closely.

## The numbers

| | Nano Banana 2.1 | Nano Banana Pro |
| --- | --- | --- |
| Price per image | 31 credits / image | 124 credits / image |
| At the entry pack | $0.31 | $1.24 |
| Typical render | about 8 seconds | about 25 seconds |
| A full batch of four | 124 credits | 496 credits |
| Built for | speed, style range, everyday prompts | fidelity, text, briefs with many clauses |

Put another way, one Pro render costs as much as 4 renders on 2.1. The entry pack is $10 for 1,000 credits, so a credit is about a cent.

Everything else is shared. Both are text-to-image on eroq, render all five formats (1:1, 3:4, 4:3, 9:16, 16:9) at the same price, run one to four takes per click, and are available on any plan, pay-as-you-go included. Both are moderated upstream by the provider: a prompt it turns down comes back as `content_blocked` and costs nothing.

## What the extra credits buy

On eroq, Pro is positioned for three things, and each one maps to a kind of image:

- **Detail that survives a crop.** Engraving on a watch case, the weave of a linen shirt, lit windows across a skyline. If the picture will be printed, zoomed or cropped for a banner, that detail is what you pay for.
- **Words in the frame.** A storefront sign, a poster title, a label. Pro is the Nano Banana to trust when the image only works if the lettering reads.
- **Briefs with many clauses.** "A red umbrella on the left, a cyclist crossing on the right, puddles only in the foreground, a neon sign reading OPEN at the back" is four constraints. Pro is the one positioned to hold all of them in one take.

And 2.1 is already the right engine for most of the rest: social posts seen on a phone, moodboards, blog headers, flat illustration, style tests, and every first draft of a composition. Its speed is the feature. At about 8 seconds a take you can change one clause and look again before you have lost the thought.

## The cost math

Here is the same job, four ways. The task: find a composition and deliver one finished image.

| Workflow | Renders | Credits | At the entry pack |
| --- | --- | --- | --- |
| All Pro | 4 on Pro | 496 | $4.96 |
| Draft, then finish | 4 on 2.1, 1 on Pro | 248 | $2.48 |
| Draft, two finishes | 4 on 2.1, 2 on Pro | 372 | $3.72 |
| 2.1 only | 4 on 2.1 | 124 | $1.24 |

The draft-then-finish row is the one to make a habit. You spend cheap renders on the question "does this composition work?" and the expensive one on "make it perfect". Scale it to a month of twenty finished images: 4,960 credits the draft-then-finish way, 9,920 credits the all-Pro way. A Creator month holds 6,000 credits for $49, so that gap decides whether the plan covers your month or runs dry halfway through it. Each take is billed on its own, and a failed one refunds automatically.

## Moving a prompt from 2.1 to Pro

The two models read the same natural-language register, so a prompt that works on 2.1 runs on Pro unchanged. Three things make the jump land:

1. **Lock the composition in words.** Pro is not an upscaler. On eroq neither model reads a picture, so Pro renders a fresh take from your prompt, not a sharper copy of the 2.1 draft. If you liked where the subject sat, write it down: "subject on the left third, camera at eye level, window light from the right".
2. **Add the layers 2.1 was never judged on.** Materials, wardrobe, the exact words in quotes. The draft settled the layout; the finish is where detail goes.
3. **Use Remix.** Open the draft from your Library, hit Remix to reload its recipe, switch the model to Pro and render one or two takes.

If what you actually need is that exact 2.1 frame with one thing changed, re-rolling on Pro is the wrong tool. That is an edit, and [Eroq One](/models/eroq-one) does it: it reads up to ten pictures and changes one by plain-language instruction, for 20 credits / image.

## When to skip the draft

Two cases go straight to Pro. The first is the proven prompt, one you have rendered before and only need again in a new format. The second is the image whose value is the text: a poster with a headline and a date line, a menu board, a book title. If it only works when the words are right, judge it on the model positioned to get them right, with two takes instead of four.

Each model also has its own guide, [Nano Banana 2.1](/blog/nano-banana-2-1-guide) and [Nano Banana Pro](/blog/nano-banana-pro-guide), and [draft fast, finish on a high-fidelity model](/blog/draft-fast-finish-high-fidelity) applies the same habit across the whole lineup.

## Example prompts

**Draft on 2.1, finish on Pro.** The layout is judged on 2.1; the gear teeth and the engraving are what Pro adds.

> A flat-lay of a watchmaker's bench seen from directly above, a disassembled pocket watch with its gears laid out in neat rows on green felt, brass tweezers and a loupe beside them, morning window light from the left, crisp shadows, editorial still life.

**2.1 is the final image.** Flat colour has no fine detail to pay for.

> A flat vector illustration of a hot-air balloon festival at sunrise, balloons in coral, teal and mustard drifting over rolling green hills, simple geometric shapes, no outlines, travel poster style.

**Straight to Pro, for the lettering.** The sign is the point of the picture.

> A small Paris bakery at dawn, gold-leaf lettering on the window reads "MAISON FLEUR", baguettes stacked in wicker baskets behind the glass, wet cobblestones reflecting the warm interior light, 35mm street photograph.

**Pro for a brief with many clauses.** Four separate constraints have to hold at once.

> Three handmade ceramic cups on a walnut table, the left cup chipped at the rim, steam rising only from the middle cup, a folded linen napkin under the right cup, low side light from a window, shallow depth of field, 85mm lens.

**A style test on 2.1.** Swap only the last clause ("35mm film photograph", "linocut print") and re-run to pick the style before you spend on Pro.

> A mountain cabin in falling snow at blue hour, warm light in every window, smoke curling from the chimney, a dark pine forest behind it, watercolour on rough paper.

More prompts built for the flagship are in [Nano Banana Pro prompts](/blog/nano-banana-pro-prompts). Open [the image studio](/studio/image), pick Nano Banana 2.1 and run the first batch.

## FAQ

### Is Nano Banana Pro worth the extra cost over Nano Banana 2.1?

For a final image that carries text, fine detail or a long list of constraints, yes: that is the job it is positioned for. For drafts, social posts and style exploration, 2.1 at 31 credits / image is the better spend.

### Can Nano Banana Pro upscale a Nano Banana 2.1 image?

No. On eroq both models are text-to-image, so Pro renders a new take from the prompt and never sees the 2.1 picture. To change an existing picture, edit it on Eroq One.

### Which Nano Banana model is faster?

Nano Banana 2.1 typically finishes in about 8 seconds and Nano Banana Pro in about 25. Those are planning estimates, not guarantees.

### Does a 16:9 or 9:16 image cost more?

No. Both models charge the same at all five formats. A batch of four bills four images, and any take that fails refunds itself.

### Can I use both models through the API?

Yes. Send `"model": "nano-banana-2-1"` or `"model": "nano-banana-pro"` to `POST /v1/images/generations`; the call answers `202` with one job per take, and you poll each job until it succeeds. The details are in [/docs/images](/docs/images).