# Nano Banana 2

> Prompt to Image, Image to Image

- Canonical page: https://artifio.ai/models/nano-banana-2
- Run it: https://artifio.ai/create/nano-banana-2
- Modality: prompt to image
- Model brand: google
- Pricing: from about $0.040 per generation (exact cost shown in the workspace before you confirm; varies with selected options)
- Typical generation time: ~30s (catalogue estimate)
- Full pricing table: https://artifio.ai/pricing/models

## About Nano Banana 2

Nano Banana 2 is Google's Gemini 3.1 Flash Image model, released on February 26, 2026. Google's pitch is that it keeps the world knowledge, quality, and reasoning of Nano Banana Pro while generating at Flash-tier speed, and on launch day it became the default image model across the Gemini app's Fast, Thinking, and Pro modes as well as Search, Flow, and Ads.

This page covers text-to-image generation with Nano Banana 2. On artifio.ai it runs beside 100+ other models in one workspace, paid per generation from a single wallet.

## Features

- Outputs at 512px, 1K, 2K, and 4K, with native support for standard aspect ratios plus new extreme formats of 4:1, 1:4, 8:1, and 1:8.
- Holds character consistency for up to 5 people and fidelity for up to 14 objects within a workflow, matching the budgets Nano Banana Pro introduced.
- Renders accurate, legible in-image text and can translate and localize that text for other markets.
- Grounding with web search, including web image results, sharpens renderings of real, specific subjects.
- Exposes configurable thinking levels in the API, from minimal for speed to dynamic for complex prompt adherence.
- Every image carries a SynthID watermark, with C2PA Content Credentials compatibility reported at launch.

## What people use it for

- Everyday image generation at scale, since it is the model Google now defaults to across its own consumer products.
- Marketing mockups and greeting cards where the text on the image must come out exactly as written.
- Localized creative, regenerating one design with its embedded text translated per market.
- Fact-anchored images of real subjects, helped by real-time web grounding.
- Latency-sensitive production pipelines; Google quotes partner HubX measuring a 74 to 76 percent latency reduction over its prior setup.

## Reported strengths

- Pro-level output quality at Flash-tier speed is the documented reason it displaced Nano Banana Pro as the default in Google's products.
- Sharper detail, richer texture, and better lighting than its predecessors, per Google's launch post.
- Strong instruction following on complex, nuanced prompts, inherited from the Gemini 3 generation.
- Wide rollout on day one, including Search availability in 141 additional countries and eight more languages, means the model is battle-tested at consumer scale.

## Reported limitations

- Google still routes some specialized tasks to Nano Banana Pro, and keeps Pro selectable for paid subscribers, so Nano Banana 2 does not fully replace the top model.
- Running at minimal thinking level trades away some adherence on complex prompts; the higher-fidelity dynamic mode costs more time.
- All outputs are watermarked with SynthID, which cannot be opted out of.
- As a February 2026 release there is little independent benchmark history yet compared with the heavily arena-tested original Nano Banana.

## Sources

1. Nano Banana 2: Google's latest AI image generation model (Google (The Keyword)): https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/
2. Build with Nano Banana 2, our best image generation and editing model (Google (The Keyword)): https://blog.google/innovation-and-ai/technology/developers-tools/build-with-nano-banana-2/
3. Google launches Nano Banana 2 model with faster image generation (TechCrunch): https://techcrunch.com/2026/02/26/google-launches-nano-banana-2-model-with-faster-image-generation/

## What it's good at

- Best small-text rendering we've tested: our seed-packet label came back with every word crisp — including invented but plausible micro-copy like a net weight and a founder's date — at sizes where most models produce mush.
- World-building instinct: given a one-line prompt it composes a full, coherent scene (street, staffed interior, readable secondary signage) with consistent lighting, which makes single-shot marketing imagery look art-directed.
- Rich, cinematic color and lighting straight out of the box — golden-hour and evening scenes need no post-processing.

## Where it falls down

- Literal prompt adherence is its weak spot: asked for a close-up portrait it delivered a half-body environmental shot, and asked for a sign it produced an entire street scene. When you need exactly what you specified and nothing more, tighten the prompt or pick a more literal model.
- Shallow depth-of-field requests are softened — backgrounds stay busier and more detailed than an 85mm f/1.8 look implies.
- Secondary text in complex scenes can wobble: window lettering in our bakery test showed slight distortion even while the main sign was perfect.

## Best for

- Labels and packaging with fine print
- One-shot scene building
- Marketing imagery

## Sample generations (exact prompts)

All samples below were generated on Artifio.ai with this model and are hosted on our media CDN.

### Perfect lettering plus a fully composed street scene

Prompt: "A modern creative-studio storefront sign that reads 'ARTIFIO' with smaller text '100+ AI MODELS. ONE WALLET.' underneath, clean geometric lettering, warm evening light"

Output (image): https://media.artifio.ai/users/user_3Bm1K1h3HGUm1KEaek1PCLVody6/outputs/nano-banana-2/2026/07/12/1783817577903-5ac2767d-3cd2-4b09-8880-36bc48bd3e51.png

### Micro-copy stays legible — the hardest text test in our battery

Prompt: "A vintage seed packet label that reads 'Golden Harvest Tomato' with smaller text 'Plant in early spring' underneath, serif type, botanical illustration style"

Output (image): https://media.artifio.ai/users/user_3Bm1K1h3HGUm1KEaek1PCLVody6/outputs/nano-banana-2/2026/07/12/1783817434248-d912a37a-2a07-4c0c-9264-b8627083dcb7.png

_Strengths and weaknesses above were observed in real generations by the Artifio team, not taken from vendor marketing copy._

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