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Model details

Nano Banana 2 Lite

Nano Banana 2 Lite is positioned as the speed- and cost-optimized member of Google's Nano Banana image family, designed for high-volume image generation and editing scenarios. It belongs to the broader Gemini Flash-Lite lineage, carrying the API identifier gemini-3.1-flash-lite-image, and is built around fast 1K image output, prompt-based editing, and responsive visual results suited to product-facing creative work. Google released the model on June 30, 2026, framing it as the most cost-efficient Gemini image model in its family, with reported text-to-image generation in roughly four seconds and a per-thousand-image cost near $0.034 on official Google channels. That positioning makes it a natural fit for prototypes, ad variants, product mockups, thumbnails, and batch image pipelines where good-enough results delivered quickly matter more than maximum creative control.

In practice, Nano Banana 2 Lite is best understood as a throughput-oriented image model rather than a precision creative tool. The Coursiv review recommends it for rapid iteration and large image volumes, while steering complex multi-reference work and long multi-turn editing toward the higher-tier Nano Banana 2 and Nano Banana Pro variants. On third-party routing services such as Kie.ai, the model accepts text prompts alongside up to ten reference images in common formats, with configurable aspect ratios for output shaping, reinforcing its orientation toward iterative visual workflows. Teams looking to balance image quality, latency, and spend will likely see the strongest returns when using it for first-pass generation, bulk variant testing, and lightweight editing rather than for the most demanding compositional tasks.

AIHubMixgemini-3.1-flash-lite-imagegemini-flash-lite

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Provider
AIHubMix
Model key
gemini-3.1-flash-lite-image
Release date
Jun 30, 2026
Last updated
Jun 30, 2026
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.25
Output token cost
$1.50

Limits

Output tokens
4,096 tokens
Context window
65,536 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Nano Banana 2 Lite

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Coverage

The Tech Buzz article reports that Google DeepMind unveiled Nano Banana 2 Lite as its fastest and most cost-efficient image generation model in the Gemini lineup, framing it as a response to demand for cost-efficient image generation at scale. The piece notes that DeepMind Product Manager Alisa Fortin positioned the re The article bundles the Nano Banana 2 Lite launch with the separate Gemini Omni Flash announcement for video editing and conversational workflows, reducing precision on the specific image model. No concrete latency, pricing, or resolution figures for Nano Banana 2 Lite appear in the supplied excerpt; the piece emphasiz

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Coverage

Qatar News Agency reports that Google launched Nano Banana 2 Lite, also called Gemini 3.1 Flash-Lite Image, as its fastest and most cost-efficient image generation model, targeting businesses and developers needing high-volume image production for commercial applications. The model generates a 1K-resolution image in un The article notes Nano Banana 2 Lite is limited to 1K resolution, unlike Nano Banana 2 and Nano Banana Pro which support up to 4K, a trade-off Google links to its speed and cost optimizations. It describes improvements over the original Nano Banana (based on Gemini 2.5 Flash Image), including better general knowledge,

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Coverage

Google released Nano Banana 2 Lite on June 30, 2026, as the newest version of its in-house image generator, positioned as a faster and more affordable option within the Nano Banana lineup (which includes Nano Banana 2 and Nano Banana Pro). According to the article, the model achieves much lower latency, producing image Context from the same article places Nano Banana 2 Lite as a successor in a series that began with the original Nano Banana (powered by Gemini 3.1 Flash) launched the prior summer, followed by Nano Banana 2 in February. Nano Banana Pro is described as a more powerful and more expensive sibling for advanced use cases. T

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CoverageBenchmark

K-Dense published an independent scientific-image benchmark comparing Nano Banana 2 Lite against three other image models (including GPT Image 2) using 240 generated figures across 20 prompts with three samples each, scored blind on a five-part rubric. Nano Banana 2 Lite returned a 1K scientific figure in approximately Under an explicit combined rubric of 70% quality and 30% speed, Nano Banana 2 Lite ranked first with an overall score of 76.9, meaning its speed advantage is large enough to change the product tradeoff for repeated scientific figure generation even though GPT Image 2 remains the strongest raw-quality option. The benchm

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