Google Nano Banana 2 Lite Brings AI Images to the Gemini API

Google Releases Nano Banana 2 Lite on 30 June 2026

On 30 June 2026, Google released Nano Banana 2 Lite, a speed-optimised image generation model designed for developers building high-volume, latency-sensitive production pipelines. The model is available immediately through Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform under the model identifier gemini-3.1-flash-lite-image. Its launch coincides with the deprecation of the Imagen 4 family on the same date, consolidating Google's developer-facing image generation offering under the Gemini brand. Alongside Nano Banana 2 Lite, Google also released Gemini Omni Flash, a video generation model, creating an end-to-end generative media stack within a single API ecosystem.

Speed and Pricing: The Core Value Proposition

Nano Banana 2 Lite generates a 1,024 by 1,024 pixel image in approximately four seconds on average, with a latency range of three to eight seconds depending on API load and prompt complexity. For e-commerce product thumbnails, advertising creative variants, in-app social image generation, and batch catalogue illustration, that speed is sufficient for interactive user-facing experiences — a practical threshold that previous models at comparable quality levels did not consistently meet.

Pricing is set at 0.034 US dollars per 1,000 images at standard API rates, dropping to 0.0168 US dollars per 1,000 images under batch processing. At the batch rate, generating one million product images costs 16.80 US dollars in model inference — a figure that makes image generation a line item comparable in cost to database queries rather than a premium feature requiring careful budget allocation. The model's predecessor tiers, including the standard Nano Banana 2 and Nano Banana Pro, are positioned at higher price points for workloads where quality over volume is the priority.

Technical Specification: What It Supports

Nano Banana 2 Lite is a text-to-image model with a native output resolution of 1,024 by 1,024 pixels. The model does not support 2K, 4K, or 8K output — those resolution tiers belong to the standard Nano Banana 2 and Nano Banana Pro variants. It accepts both text-to-image prompts and reference images for editing and style transfer workflows, making it suitable for pipelines where users upload an existing image and request a contextual variation rather than generation from scratch.

One technically significant capability is multilingual in-image text rendering. Nano Banana 2 Lite renders legible, sharp text embedded within generated images in English and more than 25 additional languages, including Hindi, Chinese, Japanese, Arabic, Spanish, French, and German. For applications that generate localised product visuals, event posters, or display advertisements for multilingual markets, native text rendering at inference time removes a post-processing step that would otherwise require a separate typography compositing layer.

Integration With the Gemini API Ecosystem

Because Nano Banana 2 Lite is integrated directly into the Gemini 3.1 Flash API tier, developers already using Gemini models for text generation, summarisation, or code tasks can add image generation to their applications without onboarding a second vendor, managing a second API key, or adapting a different request format. The unified API surface reduces integration overhead compared to using a standalone image generation service alongside a separate text model.

Google has also positioned Nano Banana 2 Lite as the first stage of a two-step generative media pipeline. A developer generates a reference image from a text prompt in approximately four seconds, then passes that image to Gemini Omni Flash to animate it into a video clip. For applications in social media content creation, marketing automation, or interactive product presentation, this image-to-video pipeline can run within a single Gemini API workflow without requiring a separate video generation service or file transfer between vendors.

What Nano Banana 2 Lite Means for Indian Development Teams

Indian product teams building for e-commerce, advertising technology, real estate, and consumer content platforms face a common challenge: generating personalised or contextually varied images at the volume required by Indian user bases requires either extensive human creative work or inference spend at premium model pricing. Nano Banana 2 Lite's batch pricing of 0.0168 dollars per 1,000 images changes the economics materially.

For teams already on the Gemini API for text tasks, the path to adding AI image generation is a single model switch in an existing API call. At current pricing, generating 10 lakh personalised product images — a realistic scale for a mid-sized Indian e-commerce platform — costs roughly 1,400 Indian rupees in model inference at batch rates, making image personalisation viable even in consumer applications with thin per-transaction margins.

The Hindi text rendering capability is specifically useful for Indian-market applications where product visuals, social posts, or advertising banners need to include regional language text without a separate compositing step. Developers building for vernacular Indian markets can include Hindi text directly in the generated image at inference time rather than adding a second pipeline stage. Teams should note that the 1K native resolution is the binding constraint for print or large-display applications; for digital-only and near-real-time use cases, Nano Banana 2 Lite is the most cost-effective option currently available in the Gemini portfolio.

The Bottom Line

Google released Nano Banana 2 Lite on 30 June 2026 under the model identifier gemini-3.1-flash-lite-image, available through Google AI Studio, the Gemini API, and Gemini Enterprise Agent Platform. The model generates 1,024 by 1,024 pixel images in approximately four seconds at 0.034 US dollars per 1,000 images standard, dropping to 0.0168 dollars per 1,000 under batch pricing. It supports text-to-image generation, reference image editing, and in-image text rendering in over 25 languages including Hindi. Integrated into the Gemini 3.1 Flash API tier, it allows teams already using Gemini for text tasks to add image generation with no new vendor or API key. It pairs with Gemini Omni Flash for an end-to-end image-to-video pipeline. For Indian product teams, the batch pricing makes high-volume image generation economically practical even in consumer applications with thin per-transaction margins.