curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gemini-3.1-flash-lite-preview",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Estimate a request with real work scenarios. GPTProto token pricing is 40% below official rates.
Top-up $100 and you get:
Top-up credits with permanent validity. You will receive a total of $100.00.
Additional 40% model discount, saving $66.6652 versus direct official Google API calls.
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| 1.05M | $0.15 / $0.90 per 1M | $0.60 / $0.01 per 1M | Input: TextInput: ImageInput: Document Output: Text | |
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| — | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.44 / $1.32 per 1M | — / $0.01 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.18 / $1.50 per 1M | $0.60 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $3.20 / $16.00 per 1M | $4.00 / $0.32 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.90 / $5.40 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| — | 1.05M | $0.44 / $1.32 per 1M | — / $0.01 per 1M | Input: Text Output: Text | |
| — | 1.05M | $1.32 / $3.96 per 1M | — / $0.04 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $1.20 / $7.20 per 1M | $2.70 / $0.12 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
The Visual Revolution: Harnessing Gemini 3.1 Flash Lite Preview on GPT Proto
Stop treating images as secondary data. With gemini-3.1-flash-lite-preview, your applications gain human-like visual reasoning with the speed of a lite-weight engine. Start deploying high-performance vision today on the GPT Proto model library.
Solving the Latency-Accuracy Paradox in Computer Vision
For years, developers faced a choice: use a heavy model for accurate object detection or a fast model with poor spatial reasoning. The gemini-3.1-flash-lite-preview breaks this cycle. By utilizing a natively multimodal architecture, it doesn't just 'see' pixels; it understands context, relationships, and depth. On GPT Proto, we provide the infrastructure to run gemini-3.1-flash-lite-preview with optimized throughput, ensuring that your image-to-text conversions happen in milliseconds, not seconds.
Technical Deep-Dive: Spatial Understanding and Segmentation
One of the standout features of gemini-3.1-flash-lite-preview is its ability to provide normalized bounding box coordinates (scaled 0-1000) for object detection. Unlike legacy models, gemini-3.1-flash-lite-preview on GPT Proto can handle complex segmentation tasks, returning base64 encoded probability maps (masks) that allow for pixel-perfect isolation of objects. This is critical for medical imaging, autonomous navigation, and high-end photo editing suites.
Use Case A: Automated Industrial Quality Control
In manufacturing, speed is everything. Using gemini-3.1-flash-lite-preview, engineers can feed high-resolution images of circuit boards into the API. The model identifies micro-fractures and missing components by utilizing its high-density tiling (258 tokens per 768px tile). The gemini-3.1-flash-lite-preview identifies defects that traditional rule-based CV systems miss, all while maintaining the low-latency requirements of a moving assembly line.
Use Case B: Dynamic E-commerce Cataloging
Transforming a folder of raw product photos into a searchable database used to take days. With gemini-3.1-flash-lite-preview, the process is instantaneous. The model generates rich, descriptive captions, detects brand logos, and categorizes items into structured JSON formats. On GPT Proto, the gemini-3.1-flash-lite-preview processes thousands of images per hour, significantly reducing time-to-market for global retailers.
"The granular control over media resolution in gemini-3.1-flash-lite-preview is a game-changer for cost-conscious developers. It allows us to balance detail and token consumption perfectly on the GPT Proto platform." — Senior AI Architect
Unmatched Stability on GPT Proto
Running cutting-edge models like gemini-3.1-flash-lite-preview requires a robust backend. GPT Proto offers 99.9% uptime and a unified API structure that simplifies integration. Whether you are using the File API for large batch processing or inline Base64 strings for real-time interactions, our platform ensures gemini-3.1-flash-lite-preview stays responsive. Explore our comprehensive technical documentation for implementation guides.
| Vision Feature | Standard Vision Models | gemini-3.1-flash-lite-preview on GPT Proto |
|---|---|---|
| Object Detection | Basic Labels Only | Normalized Bounding Boxes [0-1000] |
| Segmentation Masks | Not Supported | Native Base64 PNG Masks |
| Multimodal Context | Sequential Processing | Native Tiling Understanding |
| Token Efficiency | Flat Rate | Granular Media Resolution Control |
Transparent Recharging and Usage
At GPT Proto, we believe in transparency. We have eliminated confusing credit systems. Instead, you simply Top-up your Balance or Recharge your Amount as needed. This allows you to scale your gemini-3.1-flash-lite-preview usage predictably. Managing your visual AI budget has never been easier—just visit the Billing Center or your Dashboard to manage your funds. Ready to see the results for yourself? Read more on our official blog.
Frequently Asked Questions for gemini-3.1-flash-lite-preview
Expert answers to the most common questions about deploying the gemini-3.1-flash-lite-preview model on GPT Proto.
What image formats does gemini-3.1-flash-lite-preview support on GPT Proto?
How is the token cost calculated for gemini-3.1-flash-lite-preview?
Can I perform object detection with gemini-3.1-flash-lite-preview?
Does gemini-3.1-flash-lite-preview support image segmentation?
Is there a limit to how many images I can send to gemini-3.1-flash-lite-preview?
How do I handle billing for gemini-3.1-flash-lite-preview usage?
What is the 'media_resolution' parameter in gemini-3.1-flash-lite-preview?
Does gemini-3.1-flash-lite-preview support visual question answering?
Can I use multiple images in one prompt with gemini-3.1-flash-lite-preview?
How does the 'Lite' version of Gemini 3.1 compare in speed?
Does gemini-3.1-flash-lite-preview understand document text (OCR)?
Is gemini-3.1-flash-lite-preview available for API integration?
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