Models / Google/ Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Google · released Feb 26, 2026

Input: text and images. Output: text and images.InputOutput
Type
Proprietary
Input
$0.50
Output
$3.00
Cached
Not published

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

Our take

Written Aug 2, 2026

Nano Banana 2 is a hosted image-generation-and-editing model from Google that works with both text and images across long conversations. It offers a 131,072-token request limit, though no independent quality scores are available yet.

Who should pick it

Pick this for image generation and editing within long-form workflows where you need to keep a large text-and-image context in play. Use it through Google AI Studio if you want known throughput, or through any of the three providers if consistent pricing matters. Skip it if you need verified quality benchmarks, if you want to self-host, or if you are comparing image models on measured speed or accuracy.

The case for it

  • Very long context for an image model: 131,072 tokens supports extended text-and-image conversations or large reference sets.
  • Consistent pricing across all three tracked providers, with no need to hunt for the cheapest host.

The case against it

  • No measured quality or speed data for two of the three providers; no benchmark scores of any kind.
  • Premium output pricing with no quality verification to justify the rate.
  • Proprietary weights only — not available as a download.
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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 2 (Gemini 3.1 Flash 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
$0.50 in / $3.00 out
Context served
131K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$0.50 / $3.0066Knot measuredUnknownUnknownUnknown
Google Vertex AIglobal$0.50 / $3.00131Knot measuredNoNoUnknown
Google AI Studio$0.50 / $3.0066K146 tok/sNoYes55 daysUnknown

Across the 3 listings we hold: 2 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 Vertex AIglobal
Google AI Studio

Tool calling: 0 of 3 listings say yes, 2 say no, 1 publishes no parameter list. JSON output: 2 of 3 listings say yes, 1 publishes no parameter list. Strict schema: 2 of 3 listings say yes, 1 publishes no parameter list.

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When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Feb 26, 2026AnnouncedNano Banana 2 (Gemini 3.1 Flash 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.
  • 1 of 3 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 listings do not say whether they train on prompts.
  • We hold no cached-input rate for any of its listings.
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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-2-gemini-3-1-flash-image-preview

Machine-readable model card (omc.json) →

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