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AI model by Google

Nano Banana (Gemini image) for business

Google's Gemini-native image generation and editing models, known as Nano Banana 2 and Nano Banana Pro, which replace Imagen in the Gemini API.

  • Reviewed on September 24, 2026
  • Google

Capability tiersRelative, not benchmarks

Reasoning Very low
Coding Very low
Vision High
Speed High
Price level Medium
Context size Very low
Tool calling Very low
Structured output Very low

Key facts about Nano Banana (Gemini image)

Model ID at review
gemini-3.1-flash-image, gemini-3-pro-image
Provider
Google
Main category
Image and video
Open weights
No, available as a hosted service
Last reviewed
September 24, 2026

Fit

Where it fits and where it does not

Good at

  • Generating images from text through the Gemini API.

  • Editing images with instructions.

  • Fast image drafts with the Flash versions.

  • Higher quality with the Pro version.

  • Combining image generation with other Gemini features.

Not the right choice for

  • Video, which needs Veo.

  • Final brand assets without review.

  • Images of real people without consent.

  • Teams that need self-hosted image models.

Use cases

Business use cases we would use it for

Content visuals

Drafting images for posts and articles. See content generation.

Product scenes

Early mockups of products in context.

Bulk edits

Consistent edits across many images, with review.

Our notes

When we would choose it

Nano Banana is the name Google uses for its Gemini-native image models. At review time, the Gemini API lists gemini-3.1-flash-image as Nano Banana 2, gemini-3-pro-image as Nano Banana Pro and a lower-cost gemini-3.1-flash-lite-image. They generate and edit images from text and image input.

These models replace Imagen in the Gemini API. Google's Imagen page states that the Imagen models are shut down, with the last shutdown in August 2026. Any workflow still calling Imagen needs to move.

For business use, image generation works best inside a controlled process: clear briefs, brand references, several generated options and a person who approves the final choice. We add a record of prompts and outputs so you can answer questions later about where an image came from.

For comparison, OpenAI GPT Image, FLUX and Stable Diffusion offer different quality, licensing and hosting options. For video, see Veo. See social media automation.

Because the image models live inside the Gemini API, they fit neatly into workflows that already use Gemini for text. One provider, one set of credentials and one billing account can cover both the copy and the visuals, which keeps the system simpler to run.

Before you commit

Things to check before you commit

  • Imagen shutdown

    Imagen models are shut down in the Gemini API. Move any Imagen workflow.

  • Usage terms

    Read Google usage policies for commercial and restricted uses.

  • Review

    Have a person approve images before publication.

  • Tier choice

    Flash image models cost less than Pro. Test both on your prompts.

Alternatives

Models to compare it with

GPT Image 2.5

OpenAI's current image generation and editing models: Sunburst for the highest quality and Flare for fast everyday images.

Veo 3.1

Google's video generation model, creating short video with native audio from text and images. Available as a preview, with fast and lite versions.

FLUX.2

Black Forest Labs' FLUX.2 image models: API-only Pro, Flex and Max versions, plus open-weight Dev and Klein versions under different licenses.

Keep exploring

FAQ

Questions people ask us

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