AI

Google's new Nano Banana 2 Lite image model is its fastest and cheapest yet

Featured from AI & Machine Learning Desk

Google DeepMind has released Nano Banana 2 Lite (technically named Gemini 3.1 Flash Lite Image), a fast and low-cost image-generation model.

Google's new Nano Banana 2 Lite image model is its fastest and cheapest yet

Key takeaways

  • Nano Banana 2 Lite offers the best balance of quality and speed.
  • The model can generate an image from text in about 4 seconds in default low-thinking mode.
  • API rates for the new model are half the rate of Nano Banana 2.
  • Users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions on Arena.ai.
  • The model has more trouble with text, infographics, and character consistency across iterations.

Google DeepMind has released Nano Banana 2 Lite (technically named Gemini 3.1 Flash Lite Image), a fast and low-cost image-generation model. It can generate images from text in about 4 seconds in its default low-thinking mode, compared to 20 seconds for the standard Nano Banana. The model is available across the Google ecosystem, Google AI Studio, and the Gemini API, costing developers an average of $0.034 per 1K images ($0.25 per 1M input tokens and $1.50 per 1M output tokens). Additionally, Google is expanding access to Gemini Omni Flash, its video-generation model, to the Gemini API and Google AI Studio.

Watch the brief

By the numbers

4s
Time to generate an image in default low-thinking mode
20s
Time to generate an image in standard Nano Banana
$0.034
Average cost per 1K images generated
$0.25
API rate per 1M input tokens
$1.50
API rate per 1M output tokens

How it unfolded

  1. May Google announced Gemini Omni Flash at I/O
  2. 2026-06-30 Nano Banana 2 Lite released across Google ecosystem

Turn stories like this into views

Ravenclip finds the AI news, makes the video, and posts it before attention moves on.

Start my channel

Source: Ars Technica

Common questions

What happened with Gemini 3.1 Flash Lite Image?
Nano Banana 2 Lite offers the best balance of quality and speed.
Where can I read the original report?
Read the full report at ars_technica.

More in AI