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 |
Master Complex Document Intelligence with Gemini 3.1 Flash-Lite Preview on GPT Proto
Stop struggling with fragmented OCR tools and embrace the future of multimodal document intelligence. Gemini 3.1 Flash-Lite Preview is now available on GPT Proto, offering a unified solution for analyzing, summarizing, and extracting data from massive PDF files with unprecedented speed. Explore the model dashboard to start your first analysis today.
The Architecture of Deep Document Understanding
Unlike traditional LLMs that rely solely on text extraction, Gemini 3.1 Flash-Lite Preview uses a native vision-based approach. This means the model doesn't just 'read' the text; it 'sees' the layout. It understands the relationship between a chart and its caption, the hierarchical structure of a table, and the visual flow of a 1000-page technical manual. This holistic understanding makes Gemini 3.1 Flash-Lite Preview the premier choice for developers who need to preserve document context that is often lost in standard text-to-text processing.
The technical sophistication of Gemini 3.1 Flash-Lite Preview allows it to handle files up to 50MB. Each page is processed with high-resolution scaling—up to 3072 x 3072 pixels—ensuring that even small footnotes or dense diagrams are interpreted accurately. On the GPT Proto platform, we ensure these high-resolution requests are handled with maximum throughput and minimal downtime.
Technical Use Case: Automated Legal Discovery
In the legal sector, reviewing thousands of pages for specific clauses is a bottleneck. Using Gemini 3.1 Flash-Lite Preview, firms can upload entire case files. The model identifies patterns across multiple documents, extract structured JSON summaries of liabilities, and flags inconsistent terminology across different versions of a contract. The efficiency of Gemini 3.1 Flash-Lite Preview ensures that what used to take paralegals weeks now takes minutes.
Technical Use Case: Scientific Research Benchmarking
Researchers often need to compare benchmarks across multiple ArXiv papers. By passing multiple PDFs into a single request, Gemini 3.1 Flash-Lite Preview can generate a comparative table showing differences in methodology, dataset sizes, and error rates. The native vision capability of Gemini 3.1 Flash-Lite Preview ensures that mathematical formulas and complex graphs are compared accurately, providing a level of insight that text-only models cannot achieve.
"The ability of Gemini 3.1 Flash-Lite Preview to handle 1000 pages while maintaining visual context is a game-changer for our data pipeline. On GPT Proto, the integration was seamless, and the latency was significantly lower than other preview models we've tested." — Senior AI Architect, Global Fintech.
Why Deploy Gemini 3.1 Flash-Lite Preview on GPT Proto?
Integrating Gemini 3.1 Flash-Lite Preview through GPT Proto provides several mission-critical advantages. We provide a robust wrapper that simplifies file management via our optimized Files API, ensuring that large documents are cached and processed efficiently. For detailed implementation steps, visit our documentation portal.
| Feature | Standard OCR Models | Gemini 3.1 Flash-Lite Preview on GPT Proto |
|---|---|---|
| Page Limit | 10 - 50 Pages | Up to 1000 Pages |
| Vision Context | Text Only | Native Multimodal (Text + Visuals) |
| Output Format | Plain Text | Structured JSON / HTML / Markdown |
| Billing Model | Subscription/Credits | Transparent Balance (Add Funds) |
Transparent Pricing and Usage Control
At GPT Proto, we believe in clear, usage-based billing. There are no confusing "Credits" to track. Instead, you simply Add Funds to your account. Your Gemini 3.1 Flash-Lite Preview usage is deducted directly from your balance in real-time, allowing for precise budget management. You can monitor your consumption and scale your document processing needs via the User Dashboard.
As AI document processing continues to evolve, Gemini 3.1 Flash-Lite Preview remains at the forefront of efficiency. Whether you are building a coding agent or a deep research tool, this model offers the perfect balance of cost and capability. Stay updated with the latest AI trends and model releases on the GPT Proto Blog.
Essential Insights: Deploying Gemini 3.1 Flash-Lite Preview for Large-Scale File Analysis
Find answers to technical and billing questions regarding the Gemini 3.1 Flash-Lite Preview model on GPT Proto.
What is the maximum page limit for Gemini 3.1 Flash-Lite Preview?
How does Gemini 3.1 Flash-Lite Preview handle non-PDF documents?
Are there file size restrictions for Gemini 3.1 Flash-Lite Preview?
Does Gemini 3.1 Flash-Lite Preview support structured JSON output?
How are native text tokens billed in Gemini 3.1 Flash-Lite Preview?
Can I process multiple PDFs in a single request with Gemini 3.1 Flash-Lite Preview?
What resolution does Gemini 3.1 Flash-Lite Preview use for page analysis?
How do I top up my balance to use Gemini 3.1 Flash-Lite Preview?
Is Gemini 3.1 Flash-Lite Preview suitable for OCR of handwritten text?
Does GPT Proto use a 'Credits' system for Gemini 3.1 Flash-Lite Preview?
Can I adjust the processing quality in Gemini 3.1 Flash-Lite Preview?
What is the token cost per page for Gemini 3.1 Flash-Lite Preview?
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