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Gemini 3.1 Flash Image (Nano Banana 2)
Google's fastest high-resolution AI image model built on Gemini 3.1 Flash.
Native 2K output, lightning-fast generation, and dramatically improved text rendering.
Gemini 3.1 Flash Image, nicknamed Nano Banana 2, is Google DeepMind's latest generation AI image model built on the Gemini 3.1 Flash architecture. It is not simply a minor update to its predecessor. Nano Banana 2 is a ground-up rethinking of what a fast image model can deliver, closing the quality gap between the Flash and Pro tiers in measurable, practical ways.
Where the original Nano Banana established the concept and Nano Banana Pro pushed quality to its ceiling (at the cost of speed), Nano Banana 2 occupies a strategically important middle ground: it generates at native 2K resolution, produces legible multilingual text inside images, handles multi-character spatial scenes with physically coherent anatomy and lighting, and it does all of this faster and cheaper than Pro.
In several spatial reasoning benchmarks, Nano Banana 2 outperforms the flagship Pro model, making it the smarter default for volume-driven production workflows.
The three-tier Nano Banana family maps cleanly to different production needs. Here's how they differ in practice:
Input: $0.325 / 1M tokens
Output: $78.00 / 1M tokens
Nano Banana 2 advances on three fronts that have historically been the weak points of fast image models: text rendering, style fidelity, and spatial coherence. Here's what that means for your builds.
Legible, stable typography inside generated images, across Latin, CJK, and other scripts. Posters, ad banners, and packaging mockups come out production-ready without manual Photoshop touchups.
Feed the model a visual reference and it accurately inherits the color palette, texture language, and compositional grammar across new generations. Essential for brand-consistent content at scale.
Multi-character scenes with physically plausible anatomy, correct shadows, accurate reflections, and realistic lighting. Nano Banana 2 beats Nano Banana Pro in several spatial coherence benchmarks.
Images generate at 2048-pixel resolution by default, no upscaling step required. Aspect ratio control covers square, portrait, and landscape, all at full resolution from the first call.
Localized, instruction-driven edits on existing images. Non-targeted regions stay intact. Supports inpainting masks for surgical precision, maintains facial identity across iterations.
Combine text instructions with a reference image in a single prompt. The model interprets both the semantic intent and the visual style simultaneously, without separate pipeline steps.
Nano Banana 2 ships with two production modes. Understanding which to use and when is the difference between smooth integration and wasted API calls.
This is the primary mode. Given a natural language description, the model synthesizes a brand-new image from scratch at native 2K resolution. There is no required input image, every pixel is constructed from the model's interpretation of your prompt. It's optimized for maximum throughput, making it the default choice for batch generation pipelines.
Editing mode takes a source image as its primary input and applies targeted, instruction-driven modifications. Rather than generating from nothing, the model reads the spatial structure, lighting, and semantic content of the input, then makes precise, localized changes while actively preserving everything you didn't ask it to change.
Pipeline tip: Nano Banana 2 pairs naturally as an upstream keyframe generator for video tools like Kling 3.0 or Sora 2. Its character consistency across prompts makes it ideal for pre-generating reference frames before handing off to a video generation model.
Nano Banana 2 is optimized for production workloads where both quality and throughput matter. Here are the teams getting the strongest results.
Generate large batches of ad creatives, UGC-style banners, and product visuals in minutes. The improved text rendering means typographic overlays — headlines, CTAs, promotional copy — are production-ready straight out of the API without a design revision round.
Automated product imagery, background replacement, lifestyle shot generation, and seasonal creative variations at scale. Nano Banana 2's style transfer capabilities make it easy to maintain visual brand consistency across thousands of SKUs.
Concept iteration that previously took hours can happen in seconds. Near-instant 2K output keeps creative momentum intact, no waiting for renders to come back before the next design decision can be made.
High-resolution output with reliable text rendering makes Nano Banana 2 ideal for cover art, thumbnails, social stories, and editorial illustrations. No design background required, just a well-written prompt and your API key.
Whether you're building a generative design tool, a custom avatar creator, or an image personalization feature inside a SaaS product, Nano Banana 2's fast inference and competitive pricing make it the right default for user-facing image generation endpoints.
Generating consistent keyframes for downstream video AI tools like Kling 3.0 or Sora 2 is a natural fit. Nano Banana 2's character consistency across prompt iterations makes it a reliable upstream component in short-form video and animation workflows.
Gemini 3.1 Flash Image, nicknamed Nano Banana 2, is Google DeepMind's latest generation AI image model built on the Gemini 3.1 Flash architecture. It is not simply a minor update to its predecessor. Nano Banana 2 is a ground-up rethinking of what a fast image model can deliver, closing the quality gap between the Flash and Pro tiers in measurable, practical ways.
Where the original Nano Banana established the concept and Nano Banana Pro pushed quality to its ceiling (at the cost of speed), Nano Banana 2 occupies a strategically important middle ground: it generates at native 2K resolution, produces legible multilingual text inside images, handles multi-character spatial scenes with physically coherent anatomy and lighting, and it does all of this faster and cheaper than Pro.
In several spatial reasoning benchmarks, Nano Banana 2 outperforms the flagship Pro model, making it the smarter default for volume-driven production workflows.
The three-tier Nano Banana family maps cleanly to different production needs. Here's how they differ in practice:
Input: $0.325 / 1M tokens
Output: $78.00 / 1M tokens
Nano Banana 2 advances on three fronts that have historically been the weak points of fast image models: text rendering, style fidelity, and spatial coherence. Here's what that means for your builds.
Legible, stable typography inside generated images, across Latin, CJK, and other scripts. Posters, ad banners, and packaging mockups come out production-ready without manual Photoshop touchups.
Feed the model a visual reference and it accurately inherits the color palette, texture language, and compositional grammar across new generations. Essential for brand-consistent content at scale.
Multi-character scenes with physically plausible anatomy, correct shadows, accurate reflections, and realistic lighting. Nano Banana 2 beats Nano Banana Pro in several spatial coherence benchmarks.
Images generate at 2048-pixel resolution by default, no upscaling step required. Aspect ratio control covers square, portrait, and landscape, all at full resolution from the first call.
Localized, instruction-driven edits on existing images. Non-targeted regions stay intact. Supports inpainting masks for surgical precision, maintains facial identity across iterations.
Combine text instructions with a reference image in a single prompt. The model interprets both the semantic intent and the visual style simultaneously, without separate pipeline steps.
Nano Banana 2 ships with two production modes. Understanding which to use and when is the difference between smooth integration and wasted API calls.
This is the primary mode. Given a natural language description, the model synthesizes a brand-new image from scratch at native 2K resolution. There is no required input image, every pixel is constructed from the model's interpretation of your prompt. It's optimized for maximum throughput, making it the default choice for batch generation pipelines.
Editing mode takes a source image as its primary input and applies targeted, instruction-driven modifications. Rather than generating from nothing, the model reads the spatial structure, lighting, and semantic content of the input, then makes precise, localized changes while actively preserving everything you didn't ask it to change.
Pipeline tip: Nano Banana 2 pairs naturally as an upstream keyframe generator for video tools like Kling 3.0 or Sora 2. Its character consistency across prompts makes it ideal for pre-generating reference frames before handing off to a video generation model.
Nano Banana 2 is optimized for production workloads where both quality and throughput matter. Here are the teams getting the strongest results.
Generate large batches of ad creatives, UGC-style banners, and product visuals in minutes. The improved text rendering means typographic overlays — headlines, CTAs, promotional copy — are production-ready straight out of the API without a design revision round.
Automated product imagery, background replacement, lifestyle shot generation, and seasonal creative variations at scale. Nano Banana 2's style transfer capabilities make it easy to maintain visual brand consistency across thousands of SKUs.
Concept iteration that previously took hours can happen in seconds. Near-instant 2K output keeps creative momentum intact, no waiting for renders to come back before the next design decision can be made.
High-resolution output with reliable text rendering makes Nano Banana 2 ideal for cover art, thumbnails, social stories, and editorial illustrations. No design background required, just a well-written prompt and your API key.
Whether you're building a generative design tool, a custom avatar creator, or an image personalization feature inside a SaaS product, Nano Banana 2's fast inference and competitive pricing make it the right default for user-facing image generation endpoints.
Generating consistent keyframes for downstream video AI tools like Kling 3.0 or Sora 2 is a natural fit. Nano Banana 2's character consistency across prompt iterations makes it a reliable upstream component in short-form video and animation workflows.
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