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Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

google/gemini-3.1-flash-lite-image · GoogleDeclared and measured agree
Tokenizer lineage (measured)
Gemini
Declared tokenizer tag
Gemini
Entered catalogue
30 June 2026
Last tested
3 September 2026
Evidence confidence
High

Why high: an exact fingerprint shared with 21 models that declare the same family, without a second signal of a different kind yet.

Evidence
  • ✓ exact tokenizer signature shared with 21 models

Identity statement

Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's model. Its measured tokenizer sits with the Gemini group, which is evidence that it builds on the Gemini tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Google's authorship of the model itself.

What we checked

Four different kinds of evidence, and what each one showed
We checkedWhat we foundWhere it came from
How it counts tokensCounts every one of the 50 test strings exactly like 21 other modelstk_59ca250f
How its API is set upA combination of settings no other listing in the catalogue usesapi_6c97b095
How much it can read and writeReads up to 65,536 tokens at onceOpenRouter's listing shows 58,982 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum.its own listing
Whether it thinks before answeringReasons when asked to, at high, minimal, minimal by defaultits own listing
Who served our requestsGooglewe measured it, 3 September 2026

Shares this fingerprint

Exact signature first; template-boundary shifts of the same signature beneath
Google: Gemini 2.5 Flashgoogle/gemini-2.5-flashexact · 50/50Google: Nano Banana (Gemini 2.5 Flash Image)google/gemini-2.5-flash-imageexact · 50/50Google: Gemini 2.5 Flash Litegoogle/gemini-2.5-flash-liteexact · 50/50Google: Gemini 2.5 Progoogle/gemini-2.5-proexact · 50/50Google: Gemini 2.5 Pro Preview 06-05google/gemini-2.5-pro-previewexact · 50/50Google: Gemini 2.5 Pro Preview 05-06google/gemini-2.5-pro-preview-05-06exact · 50/50Google: Gemini 3 Flash Previewgoogle/gemini-3-flash-previewexact · 50/50Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)google/gemini-3.1-flash-image-previewexact · 50/50Google: Gemini 3.1 Flash Litegoogle/gemini-3.1-flash-liteexact · 50/50Google: Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-previewexact · 50/50Google: Gemini 3.1 Pro Previewgoogle/gemini-3.1-pro-previewexact · 50/50Google: Gemini 3.1 Pro Preview Custom Toolsgoogle/gemini-3.1-pro-preview-customtoolsexact · 50/50Google: Gemini 3.5 Flashgoogle/gemini-3.5-flashexact · 50/50Google: Gemini 3.5 Flash Litegoogle/gemini-3.5-flash-liteexact · 50/50Google: Gemini 3.6 Flashgoogle/gemini-3.6-flashexact · 50/50Google: Gemini 3.7 Flashgoogle/gemini-3.7-flashexact · 50/50Google: Gemini 3.8 Flashgoogle/gemini-3.8-flashexact · 50/50Google: Nano Banana 2.1google/gemini-nano-banana-2.1exact · 50/50Google: Gemma 3 12Bgoogle/gemma-3-12b-itexact · 50/50Google: Gemma 3 27Bgoogle/gemma-3-27b-itexact · 50/50Google: Gemma 3 4Bgoogle/gemma-3-4b-itexact · 50/50Google: Gemma 3n 4Bgoogle/gemma-3n-e4b-itsame tokenizer · template shift

Closest measured models

Agreement across the mutually clean test strings

Click a row to open the full comparison.

The measured fingerprint

What each test string cost this model, in tokens

We sent Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.

All 50 rows

English and whitespace

en-prose14
en-long16
spaces-203
spaces-604
tabs-203
newlines-203
mixed-ws9

Digits

digits-99
digits-1212
digits-3030
digits-sep12
float-long22

CJK

zh-common10
zh-long12
zh-rare25
ja-kana7
ja-kanji9
ko11

Other scripts

ru12
ar10
he13
hi8
th10
el13

Emoji

emoji-basic5
emoji-skin10
emoji-zwj-family7
emoji-zwj-x321
emoji-flags8
emoji-prof11

Rare Unicode

math26
boxdraw17
combining10
cjk-ext-b16
surrogates27
zalgo22
rtl-mix5

Code

py-code28
py-indent18
json28
html14
regex44
camel6
snake11

Repetition and encodings

rare-word-x525
repeat-tok21
base6434
hex16
url23
uuid36

Overhead subtracted: 5 prompt tokens.

Declared record

What the catalogue claims about this model

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

Modalities
text+image->text+image
Declared tokenizer
Gemini
Prompt price
$0.25 / M tokens
Completion price
$1.50 / M tokens

Supported parameters

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedtemperaturetop_p

defaults: {}

Catalogue entry

History

Every observation, kept as taken
  • 30 June 2026Enters the OpenRouter catalogue declared as Gemini.
  • 3 September 2026Fingerprinted in the YFarmX catalogue sweep · 50 of 50 strings measured clean.
  • 3 September 2026YFarmX assessment: consistent with the Gemini family, high confidence.