Nano Banana is the nickname for Google's Gemini image-generation models: Nano Banana Pro (officially Gemini 3 Pro Image), Nano Banana 2 (Gemini 3.1 Flash Image), the lower-cost Nano Banana 2 Lite, and Nano Banana 2.1, released on October 6, 2026. PR teams use Nano Banana inside the Gemini app and other Google tools to generate on-brand graphics, quote cards and translated social assets in minutes, without a design queue or a stock-photo budget. Every image still needs a human check for facts, spelling and disclosure before it ships.
Part of EPR's AI Communications Hub and How PR Teams Use Every Platform series. Updated November 4, 2026. Google changes model names, defaults and availability often, so confirm current details on Google's own pages.
Summary
- Nano Banana began as an unofficial nickname in August 2025 and now covers four named models, from Pro to Lite to the new 2.1.
- Nano Banana 2 (Gemini 3.1 Flash Image) launched on February 26, 2026 and became the default image model in the Gemini app.
- Nano Banana 2 Lite launched June 30, 2026 at $0.034 per 1K image, versus $0.067 for Nano Banana 2 and $0.134 for Nano Banana Pro, per The Decoder.
- Nano Banana 2.1 became generally available on October 6, 2026, with 1K, 2K and 4K output and multi-image fusion for up to 14 references.
- Outputs carry SynthID and C2PA Content Credentials, and PR teams should still check facts, spelling and disclosure.
Contents
- What is Nano Banana?
- What is Nano Banana 2.1?
- Why does Nano Banana matter for PR teams?
- How are PR teams using Nano Banana today?
- Which Nano Banana tier should a PR team use?
- What should PR teams check before publishing a Nano Banana image?
- What do platforms and regulators expect for AI-generated PR images?
- What other PR use cases are teams testing?
- When does a PR team still need a human designer?
- Frequently asked questions
What is Nano Banana?
Nano Banana started as an unofficial nickname for an unmarked model that went viral on the LMArena leaderboard in August 2025, before Google confirmed it was Gemini 2.5 Flash Image. The name stuck through the upgrades that followed. TechCrunch reported Nano Banana Pro, built on Gemini 3, in November 2025, and Google announced Nano Banana 2 (Gemini 3.1 Flash Image) on February 26, 2026 in its official Nano Banana 2 announcement. Google then released Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) on June 30, 2026 as its fastest and cheapest tier, first for developers through Google AI Studio and the Gemini API, with gradual expansion into Google's consumer products.
Per Google's announcement, Nano Banana 2 replaced Nano Banana Pro as the default image model in the Gemini app, and Google AI Pro and Ultra subscribers can still regenerate an image with Nano Banana Pro for specialized tasks. Google positions Pro for high-fidelity work that needs maximum factual accuracy, and Nano Banana 2 for rapid generation and iteration.
What is Nano Banana 2.1?
Nano Banana 2.1 is Google's October 2026 update to Nano Banana 2. Google's developer documentation identifies the stable model as gemini-nano-banana-2.1 and lists an October 6, 2026 release with general availability, according to Lets Data Science. It supports image generation and conversational editing at 1K, 2K and 4K output and multi-image fusion for up to 14 reference images. RuntimeWire reported that Google's deprecation schedule names Nano Banana 2.1 as the recommended replacement for Gemini 3.1 Flash Image, with the earlier model's API listed for earliest shutdown on October 29, so teams using the API should migrate. Consumer availability in the Gemini app may differ from the developer release, so check the app before relying on it.
Why does Nano Banana matter for PR teams?
Nano Banana matters to PR teams because it renders legible, correctly spelled text inside an image, a task earlier AI image generators failed at consistently. Google describes precision text rendering and translation as a core feature of Nano Banana 2, which is why a quote card or an infographic label now often comes out spelled correctly on the first try. Treat that as a strong starting point, not a guarantee, and read every word of the output.
Nano Banana 2 also draws on Gemini's real-world knowledge and image-search grounding, so a generated scene of a real product, building or public figure can pull details from current web sources instead of the model's static training data alone. TechCrunch reported that it can maintain character consistency for up to five characters and fidelity of up to 14 objects in one workflow. Comms teams working in the same Google stack covered in EPR's Gemini for PR guide and NotebookLM for PR guide will recognize the pattern: one login, several connected models, each suited to a different part of the workflow.
How are PR teams using Nano Banana today?
PR and comms teams use Nano Banana for the graphics work that used to sit in a design queue: social quote cards, executive headshot touch-ups, event recap collages and translated versions of the same asset for different markets, since the model can generate and translate on-image text in multiple languages.
Illustrative scenario: a mid-size B2B communications team preparing a same-day statement after an executive change needs a LinkedIn graphic with the new title spelled correctly, the company's colors matched and a quote overlaid on a photo-realistic background. Built by hand, that asset sits in a design queue. Built in Nano Banana, a comms staffer generates it inside Gemini and iterates on the wording with a follow-up prompt, because the models support conversational, multi-turn editing instead of a single one-shot generation.
Which Nano Banana tier should a PR team use?
| Tier | API price per image | Best for in PR | Trade-off |
|---|
| Nano Banana Pro (Gemini 3 Pro Image) | $0.134 at 1K or 2K | Infographics, data visuals and any asset where factual accuracy matters most | Slower and costlier; in the Gemini app it requires a paid Google AI plan |
| Nano Banana 2 (Gemini 3.1 Flash Image) | $0.067 at 1K | Everyday social graphics, quote cards, translated assets and fast iteration | Fast, but still needs a human fact and spelling check; the API version is being replaced by 2.1 |
| Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) | $0.034 at 1K | High-volume drafts and variants for internal use | Built for speed (about four seconds per image) and cost, with lower resolution, so avoid it for client-facing or text-heavy assets |
| Nano Banana 2.1 | Check Google's pricing page | Higher-resolution assets up to 4K and multi-reference edits | New as of October 2026, so test before standardizing |
Prices come from The Decoder's coverage of the Lite launch and may change.
What should PR teams check before publishing a Nano Banana image?
PR teams should check three things before a Nano Banana image goes out under the brand's name: factual accuracy in any infographic or data visualization, correct spelling in every language the asset ships in, and disclosure where a platform or client requires it. Google's own materials acknowledge that generated imagery needs verification when it carries data, which applies directly to PR use, where a wrong statistic or misspelled executive title is a public correction, not a redo.
Google also pairs Nano Banana outputs with SynthID, an imperceptible watermark, and C2PA Content Credentials, a provenance standard, according to its Nano Banana 2 announcement. Together they give comms teams a built-in way to show an asset was AI-generated if a journalist or regulator asks.
Platforms and regulators increasingly expect a visible or machine-readable disclosure whenever a published image was generated or materially altered by AI, and Nano Banana's SynthID and C2PA markers answer part of that expectation without relying on a manual caption a team could forget to add. SynthID is embedded in the pixels, so it is designed to survive resizing and re-uploading in a way a text caption does not.
Several major platforms label AI-generated content automatically when they detect provenance credentials, so a team publishing a Nano Banana graphic without disclosing it risks the platform adding its own label later, on its own terms. Check each platform's current policy before a campaign launches, because those rules change often.
What other PR use cases are teams testing?
PR teams are testing Nano Banana beyond quote cards for three recurring jobs: product-launch mockups shown to media before a physical sample is ready, conference and event signage generated to match a brand's current visual identity, and rapid A/B testing of social creative before a paid campaign commits budget to one direction.
A product-launch mockup lets a comms team brief journalists with a photorealistic image of a device or packaging days before a physical unit exists, provided the caption is explicit that the image is a rendering and not a photograph of the shipping product. Event teams use the model's real-world grounding to generate signage and social graphics that depict a specific venue or named public building accurately instead of a generic stand-in scene.
When does a PR team still need a human designer?
A PR team still needs a human designer for brand-system work: locked-down logo placement, a full visual identity, or any asset going to print at large format, where a generative model's output still needs a trained eye for color accuracy and file preparation.
| Option | When to use it | Trade-off |
|---|
| Nano Banana (Gemini app) | Fast-turn social graphics, quote cards, translated assets, internal decks | Needs a human fact and spelling check before publishing |
| Stock photo library | Generic scene or background with no brand-specific text | Licensing cost and a look competitors can also license |
| In-house or agency designer | Brand identity systems, print collateral, complex layouts | Slower turnaround, higher cost per asset |
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Sources: Google, TechCrunch, The Decoder, RuntimeWire, Lets Data Science, Engadget and SiliconANGLE.
