AI modelsGoogle DeepMind

Nano Banana Pro (Gemini 3 Pro Image)

Decision matrix

Nano Banana Pro (Gemini 3 Pro Image) model decision matrix
Overview

"Nano Banana Pro" is the nickname; the official model ID is gemini-3-pro-image (Gemini 3 Pro Image). Pricing is token-based: about $0.0011 per image on input, and output ranges from roughly $0.134 per 1K/2K image up to $0.24 per 4K image. Pick it when you want Gemini's image generation specifically, and always reference the official model ID in code or documentation rather than the nickname alone.

Other good fits
  • Projects that need different output resolutions (1K/2K vs 4K) at correspondingly different prices.
Pros
Read pros

"Nano Banana Pro" is Google's nickname for Gemini 3 Pro Image, with the official API model ID gemini-3-pro-image. It's Google DeepMind's current image-generation model accessible through the Gemini API, alongside Google's broader Gemini model family for text and other modalities.

Pick it when…

  • You want Google's current flagship image model and are calling it through the Gemini API.
  • You need to reference the model precisely in code, documentation or a support request, where the official ID avoids ambiguity that a marketing nickname doesn't.
  • Different output resolutions matter to your project and you want to see the cost trade-off between them.
Cons
Read cons

The nickname "Nano Banana Pro" and the technical ID gemini-3-pro-image can both appear in different places (marketing, docs, community discussion), and during an active naming migration it's easy to end up referencing a stale or ambiguous name in code. Always confirm the current model ID directly against Google's own docs rather than copying a name from a tutorial or forum post that may predate a rename.

Pick something else when…

  • You want Midjourney's distinctive aesthetic style over literal accuracy. Midjourney trades some literal prompt-following for a more stylized result.
  • You want an open-weight model you can self-host. Flux-2 offers that option instead of a hosted-only API.
  • You're already standardized on OpenAI's ecosystem for text and want image generation from the same provider. GPT Image keeps you in one provider's tools.

Avoid if

  • You need a fixed per-image price; billing is token-based and varies by resolution.
Context

Google names its models with both a technical ID (gemini-3-pro-image) and a public nickname (Nano Banana Pro); use the technical ID in anything meant to be precise or long-lived, since nicknames can persist informally even as the underlying product or naming scheme changes. Access paths and product naming are actively changing during Google's broader image-model migration, so re-check the current model ID against Google's own docs before building anything that depends on it long-term.

Requirements

This is a hosted API call through Google's Gemini API, not something you run locally; you need a Google AI API key and network access, not local GPU hardware.

Licence & cost

Prices checked 23 September 2026 (Gemini API pricing (opens in a new tab)):

ItemPriceNotes
Input$2.00 per 1M tokensAbout $0.0011 per image on the input side
Output (text/thinking)$12.00 per 1M tokensFor any accompanying text output
Output (image, 1K/2K)$120.00 per 1M tokensAbout $0.134 per image at 1K/2K
Output (image, 4K)$120.00 per 1M tokensAbout $0.24 per 4K image

Billing is token-based, not a flat per-image fee, so cost scales with resolution and any accompanying text. Budget accordingly if you're generating at scale or at the highest resolution.

First task

Documentation-based suggestion — not run here.

Generate the same image at two resolutions and compare cost and quality.

  1. Get Gemini API access and confirm you're calling gemini-3-pro-image specifically.
  2. Write one clear, detailed prompt for a scene with no real person's likeness.
  3. Generate it once at a lower resolution (1K/2K) and once at 4K.
  4. Compare the visual quality difference against the roughly 1.8x cost difference between the two.

Done when you've generated both resolutions, checked the actual cost against Google's per-token pricing, and decided which resolution is worth it for your actual use case.

Links & evidence
Documentation-based · not hands-on · Sep 23, 2026

Rests on Google's Gemini API pricing and image-generation documentation, checked 23 September 2026. No API key was used and no image was generated for this review.

  • Gemini API pricing · Sep 23, 2026 — gemini-3-pro-image model ID, token-based input/output pricing by resolution.
  • Gemini API image generation · Sep 23, 2026 — Image generation capability documentation for the Gemini API.
  • Gemini API models · Sep 23, 2026 — Confirms gemini-3-pro-image (Nano Banana Pro) as a stable model endpoint with studio-quality 4K output.
Further review notes & alternatives
Catalogue facts

Generate images with text, data labels, and multimodal instructions. Create search-grounded visuals when current facts matter. Access the model through Gemini or Vertex AI services.

Google DeepMind · paid · cloud

  • multimodal image generation
  • search-grounded visuals
  • dense text labeling
  • multi-language captions
  • long prompt handling
  • cloud api access
  • real-world data charts
  • draft-docs

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