Skip to content
AI Atlas
ModelActive

Gemini 3.1 Flash Image (Nano Banana 2)

Googlefamily · Gemini 3.1ai.google.dev/gemini-api/docs/models/gemini-3.1-

High-efficiency production-scale visual creation, combining the intelligence of the Gemini 3 series with lightning-fast generation speeds.

Open in Graph
data quality62

Updated 2 h ago · first seen 11 Sept 2026

model_01M293V7TTW1QKGN73X8MD8PXM

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recordedofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
gemini-3.1-flash-imagegoogle/gemini-3.1-flash-imageIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Status

Source:Google AI for Developers (Gemini API docs)T1observed 16 h agohigh

API model id

Source:Google AI for Developers (Gemini API docs)T1observed 16 h agohigh

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Capabilities

Modalities

Modalities
documentimagetextvideo
Input
documentimagetextvideo
Output
imagetext

Capabilities

  • Tool calling

    No

    Google AI for Developers (Gemini API docs) · T1

  • Structured output

    No

    Google AI for Developers (Gemini API docs) · T1

  • Reasoning

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Vision

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Google AI for Developers (Gemini API docs)T1observed 16 h agohigh

Max output

Source:Google AI for Developers (Gemini API docs)T1observed 16 h agohigh

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Providers & Pricing3

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MBatch in / outNative unitsStatusObservedSource
Google Gemini APIcheapest outputgemini-3.1-flash-image—$0.25 / $1.5images_output_per_mtok=60active2 h agosince 11 Sept 2026ai.google.devT1
Google Gemini APIgoogle/gemini-3.1-flash-image131.1Kout 32.8K——active7 h agosince 11 Sept 2026openrouter.aiT2
OpenRoutergoogle/gemini-3.1-flash-image131.1Kout 32.8K——active2 h agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of Gemini 3.1 Flash Image (Nano Banana 2)$0$1$2$3$4Sept 26Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $3 · 11 Sept 2026OpenRouter: first observed → $3 · 12 Sept 2026
  • Google Gemini API
  • OpenRouter
  • OpenRouterfirst observed $312 Sept 2026
  • Google Gemini APIfirst observed $311 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of Gemini 3.1 Flash Image (Nano Banana 2)$0$0.20$0.40$0.60Sept 26Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $0.50 · 11 Sept 2026OpenRouter: first observed → $0.50 · 12 Sept 2026
  • Google Gemini API
  • OpenRouter
  • OpenRouterfirst observed $0.5012 Sept 2026
  • Google Gemini APIfirst observed $0.5011 Sept 2026

Versions & Artifacts0

Version history

Context windowfirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Statusfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline3

Full timeline →

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
1 claims · 1 propertiesShow all properties

Capabilities rawcapabilities_raw1

Claim history for Capabilities raw
ValueValid from → toStatusSourceConfidenceExtractor
Image generation, Search grounding, Thinking → currentcurrentGoogle AI for Developers (Gemini API docs)T1highdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

23

Source tiers

T1T218 / 5

Freshest observation

2 h ago

Conflicts

21 flagged

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-image model_pageT1· Official2 h ago25
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/pricing pricingT1· Official2 h ago25
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/models model_docsT1· Official2 h ago25
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary2 h ago11

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (62/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →