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-pro-preview",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Estimate a request with real work scenarios. GPTProto token pricing is 40% below official rates.
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GPTProto vs official pricing.Save$66.66 (40%)vs Google official
| Model | Input → Output | ||||
|---|---|---|---|---|---|
 | 1.05M | $1.20 / $7.20 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: ImageInput: Document Output: Text | |
| 1.05M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.45 / $2.25 per 1M | — / $0.04 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 | $4.00 / $20.00 per 1M | $5.00 / $0.40 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.45 / $2.25 per 1M | — / $0.04 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.18 / $1.50 per 1M | $0.02 / $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 | $4.00 / $24.00 per 1M | $5.00 / $0.40 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 | $1.60 / $8.00 per 1M | $2.00 / $0.16 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 | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: 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 | $0.09 / $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 | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.15 / $0.90 per 1M | $0.01 / $0.01 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 164K | $0.17 / $0.25 per 1M | $0.02 / $0.02 per 1M | Input: Text Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| — | $0.04 / $0.18 per 1M | $0.009 / $0.009 per 1M | Input: Text Output: Text | ||
| 1.05M | $0.30 / $1.80 per 1M | $0.03 / $0.03 per 1M | Input: TextInput: Image 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 |
Advanced Document Intelligence with gemini-3.1-pro-preview/file-analysis
Stop treating your documents like simple strings of text and start seeing them through the eyes of advanced AI. By deploying gemini-3.1-pro-preview/file-analysis on GPT Proto, you unlock a sophisticated multimodal engine capable of reading, interpreting, and summarizing the world's most complex PDFs. Get started today at GPT Proto Models.
Beyond OCR: The Multimodal Vision of gemini-3.1-pro-preview/file-analysis
For decades, document processing was limited to Optical Character Recognition (OCR), which often stripped away the most critical context: formatting, spatial hierarchy, and visual data. The gemini-3.1-pro-preview/file-analysis model changes the paradigm. It doesn't just read words; it perceives the document as a whole. Whether it is a 1,000-page flight plan or a dense financial audit, gemini-3.1-pro-preview/file-analysis analyzes text, images, diagrams, and tables in their original context.
Technically, gemini-3.1-pro-preview/file-analysis handles massive context windows. Each page is processed with high-resolution scaling—up to 3072x3072 pixels—ensuring that even small footnotes or intricate chart labels are captured. Furthermore, the gemini-3.1-pro-preview/file-analysis architecture distinguishes between native embedded text and visual elements, allowing for hyper-efficient processing and more accurate downstream applications.
High-Fidelity Structured Data Extraction
One of the primary strengths of gemini-3.1-pro-preview/file-analysis is its ability to output structured data. If you have a stack of messy invoices, gemini-3.1-pro-preview/file-analysis can transform them into a clean JSON schema. It understands that a number at the bottom right isn't just a number—it's the Total Due. This level of semantic understanding is what makes gemini-3.1-pro-preview/file-analysis a category-defining tool for enterprise automation.
Long-Context Reasoning Across 1,000 Pages
While other models struggle with context loss after a few dozen pages, gemini-3.1-pro-preview/file-analysis maintains a cohesive understanding across massive datasets. You can upload an entire technical manual using the Files API and ask gemini-3.1-pro-preview/file-analysis to find contradictions between page 12 and page 850. This cross-referencing capability is essential for legal discovery and scientific research.
"The integration of native vision in gemini-3.1-pro-preview/file-analysis marks the end of the 'text-only' era of AI document processing. It is the first time we can truly say an AI 'understands' a PDF layout." — Lead AI Architect at GPT Proto.
Maximizing Efficiency on the GPT Proto Platform
Running gemini-3.1-pro-preview/file-analysis on GPT Proto provides developers with a distinct edge. Our infrastructure is optimized for the heavy lifting required by multimodal requests. By using our Files API, you can decouple file uploads from content generation, significantly reducing latency for multi-turn conversations involving gemini-3.1-pro-preview/file-analysis. Learn more about our technical implementation at GPT Proto Documentation.
| Feature | Standard LLMs | gemini-3.1-pro-preview/file-analysis |
|---|---|---|
| Max Page Count | 50-100 Pages | 1,000 Pages |
| Visual Understanding | Text Extraction Only | Full Layout & Image Context |
| Chart/Table Analysis | Poor/Hallucinated | Native Vision Interpretation |
| Token Handling | Generic Tokens | Native Text Inclusion (Optimized) |
Transparent Billing and Scalability
At GPT Proto, we believe in transparency. When you use gemini-3.1-pro-preview/file-analysis, you aren't forced into confusing subscription tiers or 'credits'. Instead, you simply Top-up Your Balance as needed. This pay-as-you-go approach ensures that your usage of gemini-3.1-pro-preview/file-analysis scales perfectly with your business needs. You can monitor your Recharge Amount and usage metrics in real-time through our intuitive dashboard.
Conclusion
The gemini-3.1-pro-preview/file-analysis model is more than an upgrade; it is a foundational shift in how we interact with digital documents. By combining this model's multimodal power with the stability of GPT Proto, you are equipped to tackle the most demanding data challenges of the modern era. Stay updated with the latest AI trends on our official blog.
Essential Intelligence: gemini-3.1-pro-preview/file-analysis FAQ
Get technical answers about deploying gemini-3.1-pro-preview/file-analysis for your document workflows.
What is the maximum file size supported by gemini-3.1-pro-preview/file-analysis?
How does gemini-3.1-pro-preview/file-analysis handle charts and diagrams?
Can I process multiple PDFs in a single gemini-3.1-pro-preview/file-analysis request?
What resolution does gemini-3.1-pro-preview/file-analysis use for page analysis?
Is native text extraction supported in gemini-3.1-pro-preview/file-analysis?
How are tokens calculated for gemini-3.1-pro-preview/file-analysis on GPT Proto?
Does gemini-3.1-pro-preview/file-analysis support structured output like JSON?
How can I improve the response time of gemini-3.1-pro-preview/file-analysis?
Can gemini-3.1-pro-preview/file-analysis understand non-PDF documents?
What are the best practices for uploading files to gemini-3.1-pro-preview/file-analysis?
How does gemini-3.1-pro-preview/file-analysis handle sensitive data billing?
Is there a page limit for the gemini-3.1-pro-preview/file-analysis vision engine?
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