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

google/gemini-3.1-flash-lite-image

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

google/gemini-3.1-flash-lite-image, listed by OpenRouter as "Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)", is a Google multimodal model accepting text and image input and producing text and image output. The OpenRouter catalog describes it as Google's fastest, most cost-efficient Gemini image model aimed at high-velocity developer pipelines, though this is vendor positioning rather than a measured result. It reports a 65536-token context, a 2025-01-01 knowledge cutoff, and optional reasoning with minimal effort by default. No independent model card was available in this source pack, and the catalog lists no benchmark data.[1]

Strengths

  • Text and image input with text and image output in one model, per the OpenRouter catalog.[1]
  • Configurable reasoning (none, minimal, or high effort; enabled at minimal by default) plus parameters like seed and temperature, per the catalog.[1]
  • Catalog-reported 65536-token context window, sizable for mixed text-image prompts.[1]

Limitations

  • Only OpenRouter catalog evidence is available; no independent model card or measured benchmarks were supplied, so all capability claims are source-reported.[1]
  • Speed and cost-efficiency claims come from the catalog's own description and should be validated on real workloads.[1]
  • Knowledge cutoff of 2025-01-01 and licensing terms are not documented in the evidence.[1]

Where to use it

  • Potentially suited to high-throughput image generation and editing pipelines, per the catalog's stated positioning; pilot before committing.[1]
  • Rapid visual prototyping where combined text-and-image I/O is useful, suggested as an editorial fit rather than a proven result.[1]

Sources

  1. [1] OpenRouter catalog · Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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...

Specifications

Model ID
google/gemini-3.1-flash-lite-image
Canonical ID
google/gemini-3.1-flash-lite-image-20260630
Creator
google
Added to OpenRouter
30.06.2026
Context length
65,536
Modality
text+image->text+image
Input modalities
image, text
Output modalities
image, text
Token pricing
No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff
01.01.2025
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: optional · default minimal · efforts: high, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort
CodingNo measurement—
AgentsNo measurement—
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · default minimal · efforts: high, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurementoutput: image
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Google65,536————100%
Google AI Studio65,536—————

Provider data retrieved: 13.11.2026

No published articles identify this model yet.