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Nano Banana 2 Lite

Nano Banana 2 Lite is a verified current AI model with official specs, pricing or access details, capabilities, best use cases and key limitations.

Image GenerationTextImageVideo Paid
In plain English

What is this model and why does it matter?

Nano Banana 2 Lite is Google's fastest, cheapest Gemini image model for ultra-low-latency image generation and editing at 1K resolution.

High-volume image generationFast editsConsumer appsThumbnailsInteractive visual tools
Model overview

Nano Banana 2 Lite: features, use cases and important details

Nano Banana 2 Lite is a current AI model verified from first-party Google sources.

Nano Banana 2 Lite verified specifications

Nano Banana 2 Lite is Google’s fastest, cheapest Gemini image model for ultra-low-latency image generation and editing at 1K resolution. Its verified context or usage limit is 65536 input tokens, with 4096 output tokens plus 1K image output maximum output.

Nano Banana 2 Lite pricing and access

Nano Banana 2 Lite costs $0.25/M input tokens and $30/M image-output tokens, equivalent to about $0.0336 for a 1K image; batch is roughly half that.

Nano Banana 2 Lite best uses

High-volume image generation, Fast edits, Consumer apps, Thumbnails, Interactive visual tools.

Nano Banana 2 Lite limitations

No 2K or 4K, Not optimized for complex multi-reference editing, Generated text can still require review.

Nano Banana 2 Lite capabilities and use cases

In addition, its main capabilities include Sub-2-second target latency, 1K image generation, Image editing, 14 aspect ratios, Thinking and Video/PDF context. For example, common use cases include Social graphics, Interactive editors, High-volume creative APIs, Thumbnails and Product visuals.

Who should consider Nano Banana 2 Lite?

In practice, this model may suit High-volume image generation, Fast edits, Consumer apps, Thumbnails and Interactive visual tools. Also, notable strengths include Very low image cost, Fast latency, Stable GA model and Editing support. However, review trade-offs such as No 2K or 4K, Not optimized for complex multi-reference editing and Generated text can still require review before adopting it.

Nano Banana 2 Lite pricing and access

Meanwhile, Nano Banana 2 Lite costs $0.25/M input tokens and $30/M image-output tokens, equivalent to about $0.0336 for a 1K image; batch is roughly half that. A standard 1K generated image is about $0.0336, with lower batch pricing.

Official resources and verification

Use the official model website, official documentation, pricing or release source and additional primary source to confirm current availability, limits and pricing. Product details can change after publication, so rely on primary documentation for final decisions.

Compare with other AI models

Next, continue your research in the AI models directory, Google models and Image Generation models. Compare providers, pricing, modalities and practical limitations side by side to choose the right model for your workflow.

Get started

How to use this model

  1. Create a Gemini API key.
  2. Call gemini-3.1-flash-lite-image.
  3. Provide text and optional media context.
  4. Generate a 1K image.
  5. Iterate with fast local edits.
Copy and try

Example prompts

  • Create a 1K social ad from this prompt.
  • Change the background color while preserving the subject.
  • Generate a sticker version of this character.
Capabilities

What it can do

  • Sub-2-second target latency
  • 1K image generation
  • Image editing
  • 14 aspect ratios
  • Thinking
  • Video/PDF context
Best for

Practical use cases

  • Social graphics
  • Interactive editors
  • High-volume creative APIs
  • Thumbnails
  • Product visuals
Pricing

What does it cost?

Nano Banana 2 Lite costs $0.25/M input tokens and $30/M image-output tokens, equivalent to about $0.0336 for a 1K image; batch is roughly half that.

Input$0.25 / 1M tokens
OutputAbout $0.0336 per 1K image
Simple summaryA standard 1K generated image is about $0.0336, with lower batch pricing.

What stands out

  • Very low image cost
  • Fast latency
  • Stable GA model
  • Editing support

Things to consider

  • Only 1K output
  • No search grounding
  • No structured outputs
Limitations

Important restrictions and trade-offs

  • No 2K or 4K
  • Not optimized for complex multi-reference editing
  • Generated text can still require review
SimplifyAITools verdict

Our editorial take

A strong SEO addition because it fills Google’s lowest-cost Nano Banana tier and complements Nano Banana 2 and Pro already in the directory.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗