Gemini 3.1 Pro Preview

The gemini-3.1-pro-preview/file-analysis model represents the pinnacle of multimodal document intelligence. Unlike traditional OCR that merely scrapes text, gemini-3.1-pro-preview/file-analysis utilizes native vision to interpret layouts, spatial relationships, and visual data like charts or diagrams. On GPT Proto, developers can leverage this power to process documents up to 1,000 pages long, converting unstructured PDF chaos into structured, actionable insights with unprecedented accuracy and speed.

Modalities

Context

API Usage Examples

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"
      }
    ]
  }'

Gemini 3.1 Pro Preview pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 40% below official rates.

Your usage

Model

Google · ≈ 148M tokens/mo (48M cached)

Monthly volume

OpenRouter

List + 5.5% credit fee

$330.85

per month

Input (non-cached)$67.52

Cache read$10.128

Output$253.20

Google

Direct from Google (list price)

$313.60

per month

Input (non-cached)$64

Cache read$9.6

Output$240

BEST VALUE

GPTProto

40% off official

$188.16

per month

After discount$188.16

Effective$188.16

Monthly cost by source

OpenRouter

$330.85

Google

$313.60

GPTProto

$188.16

Save $125.44 / month

on GPTProto vs Google (−40%)

Annual savings ≈ $1505.28 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models

All Models

Gemini 3.1 Pro Preview

Current

byGoogle1.05M context$1.2/M input$7.2/M output

DeepSeek Flash

byDeepSeek$0.3/M input$1.2/M output

Hy4 Preview

byHunyuan1.05M context$0.7923/M input$2.376/M output

GPT 6 Astra

byOpenAI1.05M context$8/M input$40/M output

Gemini 3.8 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Claude Fable 5.1

byClaude1M context$9/M input$45/M output

Qwen3.8 Max 0902

byQwen1M context$1.8/M input$5.4/M output

GLM 5.3 Flash

byZ-AI1.31M context$0.15/M input$0.5/M output

DeepSeek v4 Flash Vision Exp

byDeepSeek1.05M context$0.3/M input$1.2/M output

GLM 5.3

byZ-AI1.31M context$1.26/M input$3.96/M output

Gemini 3.7 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Grok 4.6

byGrok500K context$1.2/M input$3.6/M output

Qwen3.8 Max

byQwen1M context$1.8/M input$5.4/M output

Claude Opus 5

byClaude1M context$4.5/M input$22.5/M output

Gemini 3.6 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Gemini 3.5 Flash Lite

byGoogle1.05M context$0.18/M input$1.5/M output

Kimi K3

byMoonshotAI1.05M context$2.7/M input$13.5/M output

GPT 5.6 Luna

byOpenAI1.05M context$0.16/M input$0.96/M output

GPT 5.6 Terra

byOpenAI1.05M context$1.6/M input$9.6/M output

Grok 4.5

byGrok500K context$1.2/M input$3.6/M output

Claude Sonnet 5

byClaude1M context$1.8/M input$9/M output

Minimax M3

byMiniMax1.05M context$0.48/M input$0.96/M output

GLM 5.2

byZ-AI1.05M context$1.26/M input$3.96/M output

Qwen3.7 Max

byQwen1M context$0.36/M input$1.44/M output

Gemini 3.5 Flash

byGoogle1.05M context$0.9/M input$5.4/M output

DeepSeek v4 Flash

byDeepSeek1.05M context$0.3/M input$1.2/M output

Grok 4.3

byGrok1M context$0.75/M input$1.5/M output

Kimi K2.6

byMoonshotAI262K context$0.855/M input$3.6/M output

Gemini 3.1 Flash Lite Preview

byGoogle1.05M context$0.15/M input$0.9/M output

Minimax M2.5

byMiniMax205K context$0.24/M input$0.96/M output

Kimi K2.5

byMoonshotAI262K context$0.54/M input$2.7/M output

Doubao Seed 1.6 Thinking (Build 250715)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Thinking (Build 250615)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Flash (Build 250615)

byBytedance262K context$0.0182/M input$0.1821/M output

Model					Input → Output
Gemini 3.1 Pro PreviewCurrent $		1.05M	$1.20 / $7.20 per 1M	$2.70 / $0.12 per 1M	Input: TextInput: ImageInput: Document Output: Text
DeepSeek Flash $	—	—	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
Hy4 Preview $		1.05M	$0.79 / $2.38 per 1M	— / $0.04 per 1M	Input: Text Output: Text
GPT 6 Astra $		1.05M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.8 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
Claude Fable 5.1 $		1M	$9.00 / $45.00 per 1M	$11.25 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.8 Max 0902 $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
GLM 5.3 Flash $	—	1.31M	$0.15 / $0.50 per 1M	— / $0.03 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
DeepSeek v4 Flash Vision Exp $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
GLM 5.3 $		1.31M	$1.26 / $3.96 per 1M	— / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.7 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.6 $		500K	$1.20 / $3.60 per 1M	— / $0.30 per 1M	Input: TextInput: Image Output: Text
Qwen3.8 Max $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
Claude Opus 5 $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.5 Flash Lite $		1.05M	$0.18 / $1.50 per 1M	$0.60 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
Kimi K3 $		1.05M	$2.70 / $13.50 per 1M	$0.27 / $0.27 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Luna $		1.05M	$0.16 / $0.96 per 1M	$0.20 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Terra $		1.05M	$1.60 / $9.60 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.5 $		500K	$1.20 / $3.60 per 1M	$0.30 / $0.30 per 1M	Input: TextInput: Image Output: Text
Claude Sonnet 5 $		1M	$1.80 / $9.00 per 1M	$2.25 / $0.18 per 1M	Input: TextInput: Document Output: Text
Minimax M3 $		1.05M	$0.48 / $0.96 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
GLM 5.2 $		1.05M	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.7 Max $		1M	$0.36 / $1.44 per 1M	$0.07 / $0.07 per 1M	Input: TextInput: Document Output: Text
Gemini 3.5 Flash $		1.05M	$0.90 / $5.40 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
DeepSeek v4 Flash $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: Text Output: Text
Grok 4.3 $		1M	$0.75 / $1.50 per 1M	$0.12 / $0.12 per 1M	Input: TextInput: Image Output: Text
Kimi K2.6 $		262K	$0.85 / $3.60 per 1M	$0.14 / $0.14 per 1M	Input: TextInput: Document Output: Text
Gemini 3.1 Flash Lite Preview $		1.05M	$0.15 / $0.90 per 1M	$0.60 / $0.01 per 1M	Input: TextInput: ImageInput: Document Output: Text
Minimax M2.5 $		205K	$0.24 / $0.96 per 1M	$0.30 / $0.02 per 1M	Input: TextInput: Document Output: Text
Kimi K2.5 $		262K	$0.54 / $2.70 per 1M	$0.09 / $0.09 per 1M	Input: TextInput: Document Output: Text
Doubao Seed 1.6 Thinking (Build 250715) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Thinking (Build 250615) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Flash (Build 250615) $		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?

The gemini-3.1-pro-preview/file-analysis model supports PDF files up to 50MB or 1,000 pages per request, ensuring large documents are processed effectively.

How does gemini-3.1-pro-preview/file-analysis handle charts and diagrams?

Unlike text-only models, gemini-3.1-pro-preview/file-analysis uses native vision to interpret the visual data within charts and diagrams directly.

Can I process multiple PDFs in a single gemini-3.1-pro-preview/file-analysis request?

Yes, gemini-3.1-pro-preview/file-analysis can ingest multiple PDF documents simultaneously as long as the total page count stays within the context limits.

What resolution does gemini-3.1-pro-preview/file-analysis use for page analysis?

The gemini-3.1-pro-preview/file-analysis model scales larger pages to a maximum of 3072 x 3072 pixels while maintaining the original aspect ratio for clarity.

Is native text extraction supported in gemini-3.1-pro-preview/file-analysis?

Yes, gemini-3.1-pro-preview/file-analysis extracts native text embedded in PDFs, providing it to the model alongside visual representations for better accuracy.

How are tokens calculated for gemini-3.1-pro-preview/file-analysis on GPT Proto?

For gemini-3.1-pro-preview/file-analysis, each processed page is equivalent to approximately 258 tokens, while native text extraction is highly optimized for cost.

Does gemini-3.1-pro-preview/file-analysis support structured output like JSON?

Absolutely. One of the core strengths of gemini-3.1-pro-preview/file-analysis is transforming unstructured PDF data into structured formats like JSON or HTML.

How can I improve the response time of gemini-3.1-pro-preview/file-analysis?

Using the Files API to upload documents before calling gemini-3.1-pro-preview/file-analysis is the best way to reduce bandwidth usage and improve latency.

Can gemini-3.1-pro-preview/file-analysis understand non-PDF documents?

While gemini-3.1-pro-preview/file-analysis can read text from TXT or Markdown, its vision capabilities are specifically optimized for PDF document layouts.

What are the best practices for uploading files to gemini-3.1-pro-preview/file-analysis?

Ensure pages are correctly rotated and not blurry before sending them to gemini-3.1-pro-preview/file-analysis to maximize the accuracy of the visual engine.

How does gemini-3.1-pro-preview/file-analysis handle sensitive data billing?

At GPT Proto, we use a transparent balance system. You simply Add Funds to your account to process files with gemini-3.1-pro-preview/file-analysis.

Is there a page limit for the gemini-3.1-pro-preview/file-analysis vision engine?

Yes, gemini-3.1-pro-preview/file-analysis is currently capped at 1,000 pages, making it suitable for even the most extensive corporate reports.

Guides, comparisons, and updates related to this model.

All Articles

Google Gemini: How DeepMind Redefined Multimodal AI

Explore the inside story of Google Gemini and how the integration of DeepMind and Google Brain created a world-leading multimodal AI capable of advanced reasoning and real-world utility in a competitive landscape.

Google Gemini 2025: Eight Research Breakthroughs Redefining AI and Human Intelligence

Explore Google Gemini’s latest research milestones, from the groundbreaking Gemini 3 model to AlphaFold’s impact on life sciences. Learn how AI agents, custom TPU hardware, and advanced reasoning are reshaping the future of computing and solving global challenges in 2025.

Gemini 3 Pro vs 2.5 Pro: The Developer Review

Compare Gemini 3 Pro and 2.5 Pro for coding, logic, and speed. Learn how to optimize your AI API workflow and save costs. Discover more.

Advanced Document Intelligence with gemini-3.1-pro-preview/file-analysis

Beyond OCR: The Multimodal Vision of gemini-3.1-pro-preview/file-analysis

High-Fidelity Structured Data Extraction

Long-Context Reasoning Across 1,000 Pages

Maximizing Efficiency on the GPT Proto Platform

Transparent Billing and Scalability

Conclusion

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?

Related Articles

Google Gemini: How DeepMind Redefined Multimodal AI

Google Gemini 2025: Eight Research Breakthroughs Redefining AI and Human Intelligence

Gemini 3 Pro vs 2.5 Pro: The Developer Review