Models / Google/ Nano Banana (Gemini 2.5 Flash Image)

Nano Banana (Gemini 2.5 Flash Image)

Google · released Oct 7, 2025

Input: text and images. Output: text and images.InputOutput
Type
Closed
Input
None held
Output
None held
Cached
None held

We don't hold a list price for this model yet · hosted only — we have no record of published weights

Our take

Written Sep 13, 2026

Nano Banana is Google's lightweight image model that takes text and images and returns both text and images. It is priced for experimentation, with no published parameters and no measured quality data in our records.

Who should pick it

Pick this for low-cost image generation when the cheapest rate is available, or for fast Vertex-hosted inference at 165 tokens per second. Skip it if you need benchmark-backed quality comparisons, or if pricing opacity between tiers is a concern.

The case for it

  • Lowest-cost entry point among its own tracked offers.
  • Fastest measured output at 165 tokens per second on Google Vertex.

The case against it

  • No measured quality data to justify any offer over another: zero benchmark scores, Elo, win rate or human preference score.
  • Same provider lists three rates with no disclosed difference in speed or capability.
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How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

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Where to rent it

Prices checked 2 hours ago — each listing carries its own date.

Cheapest published offer

Google Vertex AI, through OpenRouter

Cheapest of 2 live listings.

per 1M tokens
$0.30 in / $2.50 out
Context served
33K
Throughput
~0 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.30 / $2.50checked 2 hours ago33Knot measuredUnknownUnknownUnknown
Google Vertex AIglobalThrough OpenRouter$0.30 / $2.50checked 2 hours ago33K8K max reply0 tok/sNoNoConfirmed

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

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

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✗✓✓
Google Vertex AIglobalThrough OpenRouter✗✓✓

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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Models people weigh against Nano Banana (Gemini 2.5 Flash Image)

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Oct 7, 2025AnnouncedNano Banana (Gemini 2.5 Flash Image) announced by Google

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, 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 does not say whether it trains on prompts.
  • We don't hold a list price for this model yet — the gap is ours, not the lab's.
  • We hold no batch or off-peak 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

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text and images in, text and images out
Catalogue slug
google-nano-banana-gemini-2-5-flash-image

Machine-readable model card (omc.json) →

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