Models / Google/ Nano Banana Pro (Gemini 3 Pro Image Preview)

Nano Banana Pro (Gemini 3 Pro Image Preview)

Google · released Nov 20, 2025

Input: text and images. Output: text and images.InputOutput
Type
Proprietary
Input
$2.00
Output
$12.00
Cached
Not published

List price · per 1M tokens · Google AI Studio at 66K context · source ↗

Our take

Written Aug 2, 2026

Nano Banana Pro is Google's proprietary image-generation and editing model that accepts both text and images and returns both text and images. It offers a 65,536-token request limit and is available through two hosted endpoints with different throughput characteristics.

Who should pick it

Choose this for image generation or editing tasks where you need text and image input alongside text and image output, or when your multimodal prompts need a 65-thousand-token request limit. Use the Google AI Studio endpoint if moderate throughput matters. Skip it if you need measured quality benchmarks to guide your choice, or if you want to self-host rather than use a hosted API.

The case for it

  • Moderate throughput of 75 tokens per second available on the Google AI Studio endpoint.
  • Text and image input with text and image output supports complex multimodal workflows.

The case against it

  • Output costs six times the input cost, making image-heavy workloads expensive.
  • No benchmark scores in our data, so there is no measured quality data.
  • Throughput on the OpenRouter endpoint is unverified.
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How good is it?

We hold no score for this model.

We look for every model we track on every board we watch, and none of them has turned up Nano Banana Pro (Gemini 3 Pro Image Preview) — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.

The boards we watch →

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Or rent it from someone else

Cheapest published offer

Why this differs from the header. The strip above quotes Google AI Studio's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$2.00 in / $12.00 out
Context served
66K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$2.00 / $12.0066Knot measuredUnknownUnknownUnknown
Google AI Studioglobal$2.00 / $12.0066K75 tok/sNoYes55 daysUnknown

Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
Google AI Studioglobal

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

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When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Nov 20, 2025AnnouncedNano Banana Pro (Gemini 3 Pro Image Preview) announced by Google

Prices last checked 9d ago

What we do not know about this model yet

  • No board we watch has turned up a score, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings do not say whether they train on prompts.
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Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+image->text+image
Catalogue slug
google-nano-banana-pro-gemini-3-pro-image-preview

Machine-readable model card (omc.json) →

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