Rapid concept exploration
Generating many rough directions quickly before a designer chooses which concepts deserve refinement.
Independent tool overview
Nano Banana 2 Lite at a glance
Nano Banana 2 Lite is Google's generally available Gemini 3.1 Flash-Lite Image model for high-volume image generation and editing. It is the fastest and least expensive model in the current Nano Banana family, with Google reporting generation in as little as four seconds and paid Gemini API pricing equivalent to about $0.0336 for a 1K output image before input and text-output charges. The model can accept text, images and video, render text, preserve characters and objects across rapid variations, and produce or edit 1K images. That efficiency comes with clear tradeoffs: Google positions Nano Banana 2 as the better all-around model, says Lite is not optimized for multiple reference images or long sequential editing, and does not offer a free Gemini API tier for this model. Use Lite for drafts, localization, testing and large batches; move final brand-critical or complex multi-reference work to Nano Banana 2 or Nano Banana Pro and require human review for facts, rights, safety and visual accuracy.
Visit the official Nano Banana 2 Lite site ↗.gif&w=3840&q=75)
- Official model
- Gemini 3.1 Flash-Lite Image
- Model ID
- gemini-3.1-flash-lite-image
- Launch stage
- Generally available
- Release date
- June 30, 2026
- Primary use
- Fast, high-volume image generation and editing
- Output resolution
- 1K
- Maximum input context
- 65,536 tokens
- Reference images
- Up to 14 per prompt; not optimized for many-reference work
- API free tier
- Not available
- Watermarking
- SynthID on generated images; C2PA supported
- Reviewed
- August 31, 2026
Overview
What Nano Banana 2 Lite is
Nano Banana 2 Lite is the public name for Gemini 3.1 Flash-Lite Image, model ID gemini-3.1-flash-lite-image.
Google released the model to general availability on June 30, 2026. It is available through the Gemini API and Google Cloud's Gemini Enterprise Agent Platform.
Google calls it the fastest and most cost-efficient image generation and editing model in the Nano Banana family and reports image generation in as little as four seconds. Actual latency depends on prompt, editing workload, service load and integration.
The model supports text, image and video input and can return interleaved text and images. Google specifically highlights rapid concept generation, contextual scenes, rough data visualizations, localized designs, character consistency and object fidelity.
It supports image generation, image editing and multi-turn image editing, but Google says it is not optimized for multiple reference inputs or extended sequential editing.
Output resolution is limited to 1K. Users needing 4K generation, more reliable multi-reference consistency or complex professional creative control should evaluate Nano Banana 2 or Nano Banana Pro.
The documented API context is 65,536 input tokens with up to 14 images per prompt. A supported maximum does not mean quality stays consistent across a crowded reference set.
Google documents many aspect ratios from 1:8 through 8:1 and standard formats including PNG, JPEG, WebP, HEIC and HEIF for image inputs.
Grounding, function calling, structured output, URL context, tuning and RAG Engine are not supported on the current model page. It should not be treated as a fact-checked visualization engine.
Google says all images generated through Nano Banana models include an invisible SynthID watermark, and the Cloud capability page lists C2PA Content Credentials support.
Paid Gemini API prompts and outputs are labeled as not used to improve Google's products. The pricing page lists no free tier for this model.
Generated images can still contain incorrect text, anatomy, counts, brands, maps or data. A watermark and generally available launch status do not remove the need for rights review, visual QA or disclosure.
Use cases
Who Nano Banana 2 Lite is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
High-volume variations
Producing ad, social, ecommerce or app-image variants where throughput and unit cost matter more than maximum fidelity.
Localization drafts
Testing layouts and rendered copy across languages before human language and typography review.
Storyboards and sequences
Creating fast visual beats with recurring characters or objects, while reviewing continuity between frames.
Programmatic image workflows
API products that need predictable 1K generation or edits, batch pricing and broad input modalities.
Rough visualizations
Drafting a visual direction for data or locations before rebuilding the final asset from verified source data.
Capabilities
Core Nano Banana 2 Lite features
Low-latency generation
Google reports new-image generation in as little as four seconds, making the model suitable for interactive iteration.
Image generation and editing
Creates images from prompts and modifies supplied images through direct or conversational edit instructions.
Multimodal input
Accepts text, images and video as context for image creation or editing.
Text rendering
Designed to render legible copy quickly for layouts and localized variations, though every word still needs review.
Character and object consistency
Improves continuity across rapid generations for storyboards, product concepts and virtual-try-on-like prototypes.
World knowledge
Can draft contextual scenes, location-specific mockups and rough visualizations without separate grounding support.
Broad aspect ratios
Supports portrait, landscape, square and extreme aspect ratios for different placements.
Batch processing
The Gemini Developer API offers discounted batch input and output rates for non-interactive workloads.
Provenance signals
Google applies SynthID to generated images and lists C2PA Content Credentials support on the Cloud model page.
Process
How the Nano Banana 2 Lite workflow works
Step 1
Choose the right Nano Banana model
Use Lite when speed and cost lead; choose Nano Banana 2 for all-around quality and multi-reference work or Pro for complex professional control.
Step 2
Define the deliverable
Specify subject, composition, visual style, aspect ratio, audience, channel and any copy that must appear.
Step 3
Use clean references
Upload only images you have permission to process and remove embedded personal, customer or confidential information.
Step 4
Keep reference sets focused
Even though the API accepts up to 14 images, use the fewest references needed because Lite is not optimized for complex multi-reference consistency.
Step 5
Generate cheap directions
Create several 1K candidates and vary one meaningful attribute at a time rather than asking for an overloaded first prompt.
Step 6
Edit selectively
Make bounded changes to the best candidate and stop if repeated edits begin drifting; restart from a clean source or switch models.
Step 7
Validate text and facts
Read every rendered word and independently verify numbers, maps, landmarks, product details and claims.
Step 8
Review people and rights
Check consent, likeness, trademarks, copyrighted references and local advertising rules before publication.
Step 9
Escalate final assets
Move complex multi-reference, exact brand or high-resolution work to Nano Banana 2, Nano Banana Pro or a human designer.
Step 10
Preserve disclosure
Retain available provenance metadata and label synthetic media wherever the audience, platform or policy requires it.
Step 11
Measure full cost
Include input media, text/reasoning output, retries, rejected generations and storage—not only the advertised per-image output estimate.
Cost
Nano Banana 2 Lite pricing and free plan
The Gemini Developer API has no free tier for Nano Banana 2 Lite. Standard paid pricing is $0.25 per million text, image or video input tokens, $1.50 per million text and thinking output tokens, and $30 per million image-output tokens. A 1K image uses 1,120 output image tokens, or about $0.0336 per generated image before input, text output, retries and storage. Batch rates are half price: $0.125 input, $0.75 text/thinking output and $15 image output per million tokens, equivalent to about $0.0168 for a 1K image before other charges. Paid-tier content is labeled as not used to improve Google's products. Prices were checked August 31, 2026.
Gemini API free tier
Not available
Google's pricing table does not offer free-tier access for Gemini 3.1 Flash-Lite Image.
- A billing-enabled paid project is required for API use
- Google AI Studio may provide a testing interface, but that is not a documented production free quota
- Set project budgets and usage alerts before large jobs
Standard paid API
$0.0336 per 1K output image
Interactive and normal-priority usage, with input and text-output charges added separately.
- $0.25 per 1M text, image or video input tokens
- $1.50 per 1M text and thinking output tokens
- $30 per 1M image-output tokens
- Paid content is labeled as not used to improve Google's products
Batch API
$0.0168 per 1K output image
Discounted asynchronous processing for workloads that do not need immediate results.
- $0.125 per 1M text, image or video input tokens
- $0.75 per 1M text and thinking output tokens
- $15 per 1M image-output tokens
- Input media, retries and storage remain additional cost factors
Pricing checked . Check current pricing at the source ↗
Assessment
Nano Banana 2 Lite strengths and limitations
Where it stands out
- Lowest published image-output price in the current Nano Banana family.
- Google reports image generation in as little as four seconds.
- Generally available rather than a preview release.
- Supports generation, editing and conversational refinement.
- Accepts text, images and video as input.
- Improved character, object and text consistency over the legacy Nano Banana model.
- Broad aspect-ratio and image-format support fits programmatic production.
- Batch pricing can halve model token costs for asynchronous workloads.
- Paid Gemini API content is labeled as not used to improve Google's products.
- SynthID and supported C2PA credentials add useful provenance signals.
What to consider
- Output is limited to 1K, while other Nano Banana models support higher-resolution professional work.
- Google says Lite is not optimized for multiple reference images or long multi-turn sequential editing.
- The Gemini Developer API offers no free tier for this model.
- The four-second figure is a best-case vendor claim, not a latency guarantee for every generation or edit.
- Image editing can take longer than generation.
- Grounding, URL context, function calling, structured output, tuning and RAG Engine are not supported.
- World knowledge can be wrong and must not be used as a factual source for data visualizations, maps or regulated claims.
- Rendered words, numbers, logos and product details can still be malformed or inaccurate.
- Character consistency is not identity verification and can drift across frames.
- A prompt can create biased, stereotyped, unsafe or deceptive imagery even when the requested style looks polished.
- Users remain responsible for rights, consent, likeness, trademark and disclosure review.
- SynthID is invisible and should not replace visible disclosure where policy or audience expectations require it.
- The per-image estimate excludes input, reasoning, retries, rejected outputs, storage and downstream editing.
- Service quotas, regional availability and Cloud security controls differ by integration and account.
Compare
Nano Banana 2 Lite alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Content Creator
Nano Banana 2
Google's recommended all-around image model for stronger quality, 4K output and more reliable multi-reference workflows.
Explore Nano Banana 2 →Design
Nano Banana Pro
Better for complex professional assets, advanced localization, precise brand control and stronger world knowledge.
Explore Nano Banana Pro →Design
Imagen 4
A Google image-generation alternative for teams comparing model families and established text-to-image API workflows.
Explore Imagen 4 →Design
FLUX.2 [klein]
A fast Black Forest Labs alternative for teams that want a different low-latency image generation and editing stack.
Explore FLUX.2 [klein] →Questions
Nano Banana 2 Lite FAQs
What is Nano Banana 2 Lite?
It is Google's Gemini 3.1 Flash-Lite Image model, built for low-cost, low-latency image generation and editing at scale.
What is the Nano Banana 2 Lite model ID?
Use gemini-3.1-flash-lite-image in the supported Gemini API or Google Cloud integration.
How fast is Nano Banana 2 Lite?
Google says it can generate an image in as little as four seconds. Editing and more complex requests can take longer, and no universal latency is guaranteed.
How much does Nano Banana 2 Lite cost?
A 1K output image costs about $0.0336 at Standard rates or $0.0168 in Batch before input, text-output, retry, storage and integration costs.
Is Nano Banana 2 Lite free?
No free Gemini Developer API tier is listed for this model. A paid, billing-enabled project is required for production API use.
What resolution does Nano Banana 2 Lite generate?
The current model documentation lists 1K image output. Choose Nano Banana 2 or Pro when higher-resolution output is required.
Can Nano Banana 2 Lite edit images?
Yes. It supports image editing and multi-turn editing, although Google says it is not optimized for long sequential edits or complex multi-reference input.
Can it use video as a reference?
Yes. The current model page lists video as input-only and supports image generation from video input; audio in video files is not used.
Does Google train on paid Nano Banana 2 Lite API data?
Google's pricing table labels paid-tier prompts and outputs as not used to improve its products. Review the exact service terms and Cloud configuration for your organization.
Does Nano Banana 2 Lite watermark images?
Google says all Nano Banana-generated images include an invisible SynthID watermark, and its Cloud capability page lists C2PA support.
Which is better, Nano Banana 2 Lite or Nano Banana 2?
Lite is better when speed, volume and cost lead. Nano Banana 2 is Google's recommended all-around model for higher quality, 4K output and more dependable multi-reference work.
Can I publish its output without review?
No. Review text, facts, people, brand details, safety, rights, disclosure and destination-platform rules before any public or paid use.
Bottom line
Our Nano Banana 2 Lite verdict
Nano Banana 2 Lite is an excellent efficiency model for teams that need many fast 1K drafts, variants or localized concepts and can automate review. Its roughly 3.4-cent Standard output price—or 1.7 cents in Batch—makes large experiments practical. The word Lite matters: this is not Google's best choice for exact multi-reference identity, long edit chains, 4K finals or complicated brand-critical production. Use it to explore and scale, track the full retry-adjusted cost, and send the small number of winning assets through a higher-fidelity model and human creative, factual and rights review.
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