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Google
Gemini 3.1 Pro Preview
$ 
The gemini-3.1-pro-preview/text-to-text model represents the pinnacle of long-context large language models, offering an unprecedented 2-million-token window that transforms how developers handle massive datasets. By integrating gemini-3.1-pro-preview/text-to-text on the GPT Proto platform, users gain access to superior reasoning, high-fidelity information retrieval, and many-shot in-context learning capabilities. Whether you are analyzing thousands of lines of code or entire libraries of legal documents, gemini-3.1-pro-preview/text-to-text ensures that no detail is lost in the noise, providing stable and authoritative text outputs for the most demanding professional workflows.

Modalities

Input: TextInput: ImageInput: Document
Output: Text

/

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

Estimate a request with real work scenarios. GPTProto token pricing is 40% below official rates.

Cost calculator

Multi-turn agent with cached context.
TokensRateCost
$1.2 / 1M$0.0018
$7.2 / 1M$0.00576
$0.12 / 1M$0.00036
$0.12 / 1M$0.003
Cost per request$0.01092

Top up

GPTProto vs official pricing.
Requests
You pay
40% off
$100
You receive$100.00

Save$66.66 (40%)vs Google official

Related Models
All Models
ModelInput → Output
Gemini 3.1 Pro PreviewCurrent
1.05M$1.20 / $7.20 per 1M$0.12 / $0.12 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GLM 5.3
1.05M$1.26 / $3.96 per 1M— / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.7 Flash
1.05M$0.45 / $2.25 per 1M— / $0.04 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$4.00 / $20.00 per 1M$5.00 / $0.40 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.6 Flash
1.05M$0.45 / $2.25 per 1M— / $0.04 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.5 Flash Lite
1.05M$0.18 / $1.50 per 1M$0.02 / $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
GPT 5.6 Sol
1.05M$4.00 / $24.00 per 1M$5.00 / $0.40 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$1.60 / $8.00 per 1M$2.00 / $0.16 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
Claude Fable 5
1M$8.00 / $40.00 per 1M$10.00 / $0.80 per 1M
Input: TextInput: 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$0.09 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek v4 Flash
—1.05M$0.44 / $1.32 per 1M— / $0.01 per 1M
Input: Text
Output: Text
DeepSeek v4 Pro
—1.05M$1.32 / $3.96 per 1M— / $0.04 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
GLM 5.1
205K$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: Document
Output: Text
Gemini 3.1 Flash Lite Preview
1.05M$0.15 / $0.90 per 1M$0.01 / $0.01 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek v3.2
164K$0.17 / $0.25 per 1M$0.02 / $0.02 per 1M
Input: Text
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
Qwen Turbo
—$0.04 / $0.18 per 1M$0.009 / $0.009 per 1M
Input: Text
Output: Text
Gemini 3 Flash Preview
1.05M$0.30 / $1.80 per 1M$0.03 / $0.03 per 1M
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking 250715
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking 250615
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash 250615
262K$0.02 / $0.18 per 1M—
Input: TextInput: Image
Output: Text

Mastering the Massive Context of gemini-3.1-pro-preview/text-to-text

The arrival of gemini-3.1-pro-preview/text-to-text marks a paradigm shift in generative AI, moving beyond the 'short-term memory' limitations of earlier models to a world of infinite relevance. Experience the full potential of this model at GPT Proto.

The End of the RAG Bottleneck with gemini-3.1-pro-preview/text-to-text

For years, developers relied on Retrieval-Augmented Generation (RAG) to bypass the narrow context windows of standard LLMs. While RAG is effective, it often suffers from retrieval noise and lost nuance. The gemini-3.1-pro-preview/text-to-text model changes the game by allowing you to feed up to 2 million tokens directly into the prompt. This 'Long Context First' approach ensures that gemini-3.1-pro-preview/text-to-text has a holistic view of your data, leading to significantly higher factual accuracy and reasoning depth compared to fragmented retrieval methods.

Use Case A: Comprehensive Software Intelligence

When dealing with enterprise-level repositories, gemini-3.1-pro-preview/text-to-text can ingest over 100,000 lines of code simultaneously. This allows developers to ask architectural questions that span across dozens of modules. Using gemini-3.1-pro-preview/text-to-text on GPT Proto, a lead engineer can identify circular dependencies or security vulnerabilities that only appear when the entire codebase is analyzed as a single, coherent entity. The experience of having an AI that 'knows' the whole project is a fundamental productivity multiplier.

Use Case B: Legal and Compliance Synthesis

Legal professionals often face the daunting task of cross-referencing hundreds of contracts or thousands of pages of regulatory filings. The gemini-3.1-pro-preview/text-to-text model excels here by maintaining a 99% retrieval accuracy rate for specific clauses hidden within massive document sets. By leveraging gemini-3.1-pro-preview/text-to-text, firms can automate the first pass of due diligence with a level of precision that was previously impossible without human-intensive labor.

"The jump to gemini-3.1-pro-preview/text-to-text isn't just an incremental update; it's the difference between reading a summary and understanding the entire library. It redefines what we mean by 'in-context learning'."

Why Deploy gemini-3.1-pro-preview/text-to-text on GPT Proto?

GPT Proto provides the industrial-grade infrastructure required to handle the high-compute demands of gemini-3.1-pro-preview/text-to-text. With optimized routing and context caching, we reduce the latency often associated with massive token inputs. Our platform ensures that your gemini-3.1-pro-preview/text-to-text requests are processed with maximum stability and security. Learn more about our technical stack at our Documentation.

Feature Legacy LLMs gemini-3.1-pro-preview/text-to-text on GPT Proto
Context Window 32k - 128k Tokens 2,000,000+ Tokens
Retrieval Logic Fragmented (RAG) Native Long-Context Reasoning
In-Context Learning Limited examples Massive Many-Shot Potential
Platform Stability Variable Enterprise-Grade on GPT Proto

Simplified Pricing and Professional Access

Transparency is core to our mission. At GPT Proto, we have eliminated confusing credit-based systems. To use gemini-3.1-pro-preview/text-to-text, simply Add Funds or Top-up Balance in your account. This pay-as-you-go approach ensures you only pay for the tokens you actually use, making it economically feasible to run massive gemini-3.1-pro-preview/text-to-text queries. Manage your account at the Billing Center or view your usage stats on the Dashboard.

As AI continues to evolve, gemini-3.1-pro-preview/text-to-text stands as a testament to the power of scale and precision. Stay updated on the latest AI trends and implementation guides by visiting the GPT Proto Blog.

Essential gemini-3.1-pro-preview/text-to-text Intelligence FAQ

Find expert answers regarding the integration and performance of gemini-3.1-pro-preview/text-to-text on the GPT Proto platform.

What is the maximum token limit for gemini-3.1-pro-preview/text-to-text?

The gemini-3.1-pro-preview/text-to-text model currently supports a context window of up to 2 million tokens, which is significantly higher than previous iterations.

How does gemini-3.1-pro-preview/text-to-text handle 'needle-in-a-haystack' tests?

The gemini-3.1-pro-preview/text-to-text model demonstrates near-perfect (99%+) retrieval accuracy even at the very end of its 2M token context window.

Can I use gemini-3.1-pro-preview/text-to-text for many-shot learning?

Yes, gemini-3.1-pro-preview/text-to-text is optimized for many-shot learning, allowing you to provide thousands of examples within the prompt for specialized task performance.

Is gemini-3.1-pro-preview/text-to-text available for high-frequency API calls?

Absolutely. On GPT Proto, we ensure that gemini-3.1-pro-preview/text-to-text has the necessary bandwidth and rate limits for enterprise-scale applications.

How do I pay for gemini-3.1-pro-preview/text-to-text usage?

You can use gemini-3.1-pro-preview/text-to-text by choosing to Top-up Balance or Add Funds in your GPT Proto account, avoiding any restrictive 'credits' systems.

Does gemini-3.1-pro-preview/text-to-text support non-English languages?

Yes, gemini-3.1-pro-preview/text-to-text is natively multilingual and shows exceptional performance in translating and reasoning across rare languages using long-context reference materials.

What is the primary advantage of gemini-3.1-pro-preview/text-to-text over RAG?

The main advantage is that gemini-3.1-pro-preview/text-to-text reduces the 'lossy' nature of retrieval, processing all data simultaneously for better global context understanding.

How does context caching work with gemini-3.1-pro-preview/text-to-text?

GPT Proto supports context caching for gemini-3.1-pro-preview/text-to-text, which allows you to store large datasets in memory to reduce cost and latency for repetitive queries.

What is the 'text-to-text' focus of gemini-3.1-pro-preview/text-to-text?

While the Gemini family is multimodal, gemini-3.1-pro-preview/text-to-text is specifically fine-tuned for high-performance linguistic reasoning and complex text generation.

Is gemini-3.1-pro-preview/text-to-text suitable for code refactoring?

Yes, gemini-3.1-pro-preview/text-to-text is one of the best models for code refactoring as it can ingest entire repositories to maintain consistency across the codebase.

How do I monitor my gemini-3.1-pro-preview/text-to-text costs?

You can monitor all usage for gemini-3.1-pro-preview/text-to-text in real-time via the GPT Proto Dashboard, where you can also Recharge Amount easily.

Can gemini-3.1-pro-preview/text-to-text summarize a whole book?

Yes, gemini-3.1-pro-preview/text-to-text can easily summarize multiple books or thousands of pages of text in a single pass without losing key narrative threads.

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GPT Proto

Empowering AI Innovation with Global Scale and Stability:

With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

Global Infrastructure, Local Compliance:

To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

Built to Scale:

We understand that stability is paramount. Our platform is built on a robust, decentralized architecture supporting dynamic Auto-scaling. Whether you are running a pilot or handling millions of concurrent requests, our system expands instantly to meet demand—guaranteeing that your business never outgrows our infrastructure.

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