Sub-5 Second Generation
Generates 1K resolution images in roughly 4 seconds, 2.7x faster than standard Flash models.
Gemini 3.1 Flash Lite Image
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.
Input
Output
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/google/gemini-3.1-flash-lite-image/image-edit" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"images": [],
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"aspect_ratio": "16:9",
"size": "1k",
"output_formart": "png",
"enable_base64_output": false,
"enable_sync_mode": false
}'Gemini 3.1 Flash Lite Image pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 40% below list price.
GPTProto · Price est.
Estimated from the rate card. Final charges may vary.40% off
Cost per request$0.0202$0.0336
Top up
GPTProto vs official pricing.Requests
You pay
40% off
$100You receive$100.00
Save$66.66 (40%)vs Google official
nano banana lite Core Features
Technical highlights of the Gemini 3.1 Flash-Lite Image architecture.
Visual OCR and Extraction
Optimized for scanning documents and screenshots with enhanced tabular data identification.
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.
Related Models
All Models| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
 | $0.02 per time | 1K | Input: TextInput: Image Output: Image | |
| $0.04 per time | 1K · 2K | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $6.40 / $24.00 per 1M | — | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.01 per time | — | Input: TextInput: Image Output: Image | ||
| $0.02 per time | — | Input: TextInput: Image Output: Image | ||
| $5.60 / $22.40 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.14 per time | — | Input: Text Output: Image | |
| $0.08 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $0.04 per time | — | Input: Text Output: Image | ||
| $1.75 / $5.60 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.01 per time | — | Input: Image Output: Image | |
| — | $0.02 per time | — | Input: Image Output: Image | |
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.02 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: Text Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Text Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image |
nano banana lite FAQ: Speed & Implementation
Common questions about the nano banana lite model, covering latency, pricing, and specific multimodal capabilities.
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.