Visual OCR and Extraction
Optimized for scanning documents and screenshots with enhanced tabular data identification.
Visual OCR and Extraction
Optimized for scanning documents and screenshots with enhanced tabular data identification.
gemini-3.1-flash-lite-image / image-edit
nano banana lite (Gemini 3.1 Flash-Lite) is a hyper-optimized multimodal model for high-velocity image generation and visual reasoning. It delivers sub-5 second 1K resolution results at a fraction of the cost of flagship AI models.
$ 0.0202
$ 0.0336
image
image
Playground
JSON
API
Input
Your request will cost$0per run, for$100you can run this model approximately0times
nano banana lite Core Features
Technical highlights of the Gemini 3.1 Flash-Lite Image architecture.
Character Consistency
Maintains identity features across frames with a high 88% benchmark for visual storytelling.
Character Consistency
Maintains identity features across frames with a high 88% benchmark for visual storytelling.
SynthID Watermarking
All images include tamper-resistant watermarks for safety and AI transparency standards.
SynthID Watermarking
All images include tamper-resistant watermarks for safety and AI transparency standards.
Sub-5 Second Generation
Generates 1K resolution images in roughly 4 seconds, 2.7x faster than standard Flash models.
Sub-5 Second Generation
Generates 1K resolution images in roughly 4 seconds, 2.7x faster than standard Flash models.
How to Get a gemini-3.1-flash-lite-image API Key
Getting a gemini-3.1-flash-lite-image API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.0202 it's a cheaper gemini-3.1-flash-lite-image API key than going direct, and one key works across every model on the platform. Full gemini-3.1-flash-lite-image Documentation is in the docs.
Sign up
Create your free GPT Proto account to begin. You can set up an organization for your team at any time.
Top up
Your balance can be used across all models on the platform, including gemini-3.1-flash-lite-image, giving you the flexibility to experiment and scale as needed.
Generate your API key
In your dashboard, create an API key — you'll need it to authenticate when making requests to gemini-3.1-flash-lite-image.
Make your first API call
Use your API key with our sample code to send a request to gemini-3.1-flash-lite-image via GPT Proto and see instant AI-powered results.
nano banana lite FAQ: Speed & Implementation
How fast does nano banana lite generate images?
The nano banana lite model is built for speed, generating 1K resolution images in approximately 4 seconds. This makes it 2.7 times faster than the standard Gemini 3.1 Flash Image model, allowing for near real-time visual responses in interactive applications.
What is the pricing for nano banana lite on GPTProto?
Using nano banana lite is highly cost-effective. Image output is priced at $0.034 per 1K-resolution image. For text and image inputs, the rate is $2.00 per 1M tokens, with a 50% discount available on input tokens for cached context hits during long sessions.
Does nano banana lite support character consistency?
Yes, nano banana lite inherits the family strength for character consistency, achieving an internal benchmark of 88%. This is significantly higher than competing lite models, making it ideal for maintaining character identity in storytelling or marketing.
Can nano banana lite perform visual OCR tasks?
Absolutely. nano banana lite is optimized for high-throughput visual OCR. It can scan large batches of documents or screenshots, specifically excelling at extracting tabular data and identifying UI components for automated testing or data entry.
What are the limitations of the lite model?
While nano banana lite is excellent for speed and cost, it is not optimized for multi-turn sequential editing or artistic masterpieces. For ultra-high-resolution fine art or complex mathematical proofs, we recommend the Pro version of the model family.
Is my data used to train the nano banana lite model?
No. GPTProto.com ensures that enterprise customers are protected by a Zero-Data-Retention policy. Your inputs and generated images are not used to train the underlying Google DeepMind models, ensuring your proprietary data remains private.