Nano Banana 2 Lite — 4-Credit Figures for Fast Iteration

The Iteration Tax

Getting a figure right almost never happens on the first generation. You tweak the prompt, swap the layout, try a different aspect ratio — and every attempt bills you like it's the final render. Ten drafts at flagship pricing adds up fast, so most people stop iterating before the figure is actually good.

That tax just dropped. A lot.

Meet Nano Banana 2 Lite

Google DeepMind released Nano Banana 2 Lite — the official name for Gemini 3.1 Flash-Lite Image — as the efficiency-focused sibling of Nano Banana 2. The pitch is simple: keep most of the quality, cut the latency and the cost.

• Fast: official numbers put a 1K render at ~4 seconds — several times faster than its bigger siblings. End to end on PaperBanana (queueing and delivery included), expect roughly 20 seconds.
• Close to flagship quality: on kie.ai's blind-arena comparison it scores an Elo of 1251 vs 1270 for Nano Banana 2 — about a 1.5% gap, at a fraction of the price.
• Cheap: on PaperBanana it costs a flat 4 credits per image. No resolution tiers, no plan-dependent math. Ten full iterations cost what a single 4K Nano Banana Pro render does.

The cover of this post is a single, unedited Nano Banana 2 Lite generation — one prompt, one shot, 4 credits.

Where You Can Use It

As of today, Nano Banana 2 Lite is available in all three generation surfaces:

1. Standard generator — pick Nano Banana 2 Lite in the Model dropdown (marked NEW). Works for both text-to-image and image-to-image, with up to 10 reference images.
2. Advanced (pipeline) mode — select it as the image model behind the Visualizer step. The planner and stylist still do their structural work; the final render just gets much cheaper while you iterate on layout.
3. REST API — pass "model": "nano-banana-2-lite":

curl -X POST https://open.paper-banana.org/api/v1/generate \
  -H "Authorization: Bearer sk-team-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "standard",
    "scene": "text-to-image",
    "prompt": "A minimalist methodology diagram, three stages connected by arrows",
    "model": "nano-banana-2-lite",
    "options": { "aspect_ratio": "16:9" }
  }'

See the API Documentation for the full parameter reference.

How It Compares

The Workflow We Recommend

Treat Lite as your sketchpad and the bigger models as your printer:

1. Iterate on Lite — explore prompts, layouts, and aspect ratios at 4 credits a shot until the composition is right
2. Lock the prompt — once a draft looks correct, you've done the expensive part (the thinking) cheaply
3. Final render on Nano Banana 2 at 2K/4K or GPT Image 2 HD — reuse the exact same prompt for the version that goes in the paper

Ten Lite drafts plus one Nano Banana 2 4K final is 60 credits — still cheaper than two blind 4K renders on Nano Banana Pro.

Honest Limitations

Same policy as always — we'd rather you know before you spend credits:

• 1K output only. Great for slides, posters at draft stage, web, and iteration. For a full-page 300-DPI print figure, do the final render on Nano Banana 2 at 4K.
• JPEG output, no format choice. There's no PNG/WebP option and no transparency. If you need alpha channels, generate the final on a model with format control.
• No Google Search grounding. Nano Banana 2 can consult search for factual visual details; Lite can't. Prompts that rely on real-world specifics (a particular instrument, a labeled map) do better on its big sibling.
• Dense in-figure text is still GPT Image 2's home turf. Lite renders short labels fine, but for text-heavy flowcharts, see our GPT Image 2 guide.

Try It Now

Open the generator, pick Nano Banana 2 Lite from the Model dropdown, and burn 4 credits on something you'd normally overthink. That's the whole point.

Questions or a diagram type you want benchmarked against Nano Banana 2? The in-app feedback button reaches us directly — we read every message.