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ZurückGoogle DeepMind Unveils Nano Banana 2 Lite for Faster, Cheaper AI Image Generation
Google DeepMind Unveils Nano Banana 2 Lite for Faster, Cheaper AI Image Generation
In Entwicklung
Ars Technica30.6.2026Technik3 Min. LesezeitUnited States

Google DeepMind Unveils Nano Banana 2 Lite for Faster, Cheaper AI Image Generation

Auf einen Blick

  • Google DeepMind's new Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) offers a balance of speed and quality for AI image generation, available across Google's ecosystem.
  • It's faster and cheaper than previous models, ideal for rapid prototyping, though it has limitations with text and consistency.

KI-generierte Zusammenfassung

Schriftgröße

There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It’s available today across the Google ecosystem, creating images in a fraction of the time it takes Google’s beefier models.

The new model is part of the Gemini 3.1 family—it’s technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and “rapid-fire” prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.

In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn’t always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it’s very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.

But it’s fast. You can go from text to an image in about 4 seconds in the default low-thinking mode. Generating the same images in the standard Nano Banana takes about 20 seconds. The speed and efficiency mean developers accessing Nano Banana 2 Lite via the API will pay a lot less. Google says it averages $0.034 per 1K image. The API rates are $0.25 for 1M input tokens and $1.50 for 1M output tokens. That’s half the rate for Nano Banana 2. For Nano Banana Pro, the input tokens are only a little more at $2 for 1M, but the output pricing is $12 (eight times higher).

If you’re just tinkering with an AI model to make a single image, it probably makes sense to use the Flash or Pro versions of Nano Banana. They can handle text better, and anything photorealistic will be more accurate. But for rapid iteration and design inspiration, Nano Banana 2 Lite could save you a lot of time and money.

The rapid-fire nature of Nano Banana 2 Lite also means there may be a lot more AI slop circulating online. Google is not the only company offering cheap image generation, but Nano Banana 2 Lite appears to be a step up in quality compared to other low-cost options. Google notes that all images produced by Nano Banana 2 Lite have SynthID watermarks, which theoretically label them as AI even after edits.

You can play with Nano Banana 2 Lite in Google AI Studio, and it’s live in the API. You can also access the new image model in Gemini by selecting the Flash-Lite option and asking for an image. Google says it’s also expanding access to Gemini Omni Flash, which it announced at I/O in May. Omni, which is still limited to video generation, is now available in the Gemini API and Google AI Studio. It was previously launched in the Gemini app and Google Flow.

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This article was originally published by Ars Technica.

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