Bảng giá+7% bonus
Google
Gemini 3.1 Pro Preview
The gemini-3.1-pro-preview/web-search model represents the pinnacle of retrieval-augmented generation. By combining Google’s massive indexing capabilities with a pro-tier context window, gemini-3.1-pro-preview/web-search on GPT Proto allows users to query the live internet for facts, code, and trends that occurred only minutes ago. This model is designed for professionals who require high-fidelity data extraction and logical reasoning without the limitations of traditional knowledge cutoffs. With GPT Proto’s robust infrastructure, gemini-3.1-pro-preview/web-search delivers low-latency responses and highly transparent billing, ensuring your enterprise stays ahead of the competition.

Phương thức

Đầu vào: Văn bảnĐầu vào: Hình ảnhĐầu vào: Tài liệu
Đầu ra: Văn bản

Ngữ cảnh

Nạp $50 ngay → Oct 11 – Oct 31 · Số lượng có hạn · Theo thứ tự đăng ký
Nạp ngay
Ví dụ sử dụng API
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 Giá

Trò chuyện, tác tử lập trình và xử lý tài liệu. Tính phí trên mỗi 1 triệu token — token đầu vào, đầu vào được lưu vào bộ nhớ đệm và đầu ra được tính phí riêng. GPTProto thấp hơn 40% so với mức giá chính thức.

Kịch bảnGoogle giá niêm yếtOpenRouterGPTProtoBạn tiết kiệm / tháng
Cá nhân10M token / tháng (4.8M trong cache)$31.36$33.08$18.82−$12.54≈ $150.53 / năm
Nhóm100M token / tháng (48M trong cache)$313.60$330.85$188.16−$125.44≈ $1505.28 / năm
Doanh nghiệp500M token / tháng (240M trong cache)$1568.00$1654.24$940.80−$627.20≈ $7526.40 / năm
Chi phí hằng tháng theo nguồn
OpenRouter
$0.00
Google
$0.00
GPTProto
$0.00
Tiết kiệm $0.00 / tháng
Tiết kiệm hàng năm ≈ $0.00 · trả theo mức sử dụng
Mô hình liên quan
Tất cả mô hình
Gemini 3.1 Pro PreviewHiện tại

Google · 1.05M context · $1.2/M input · $7.2/M output

Muse Spark 1.3

Meta · 1.05M context · $1/M input · $3.4/M output

Gemini 4 Argon

Google · 1.05M context · $2.4/M input · $12/M output

Muse Wonder 1.0

Meta · $3.2/M input · $16/M output

Claude Haiku 5.5

Claude · 1M context · $0.09/M input · $0.45/M output

GPT 6.1 Sol

OpenAI · 1.05M context · $1.6/M input · $8/M output

Claude Sonnet 5.5

Claude · 1M context · $1.8/M input · $9/M output

GPT 6 Luna

OpenAI · 1.05M context · $0.08/M input · $0.4/M output

GPT 6 Sol

OpenAI · 1.05M context · $1.6/M input · $8/M output

Claude Opus 5.5

Claude · 1M context · $3.6/M input · $18/M output

Jev Latest

TypesafeAI · $0.0336/M input

Grok 4.7

Grok · 500K context · $1.2/M input · $3.6/M output

DeepSeek Flash

DeepSeek · $0.24/M input · $0.96/M output

Hy4 Preview

Hunyuan · 1.05M context · $0.7923/M input · $2.376/M output

Gemini 3.8 Flash

Google · 1.05M context · $0.9/M input · $4.5/M output

Qwen3.8 Max 0902

Qwen · 1M context · $1.4/M input · $4.2/M output

GLM 5.3 Flash

Z-AI · 1.05M context · $0.1275/M input · $0.425/M output

GLM 5.3

Z-AI · 1.05M context · $1.19/M input · $3.74/M output

Gemini 3.7 Flash

Google · 1.05M context · $0.9/M input · $4.5/M output

Grok 4.6

Grok · 500K context · $1.2/M input · $3.6/M output

Qwen3.8 Max

Qwen · 1M context · $1.4/M input · $4.2/M output

Gemini 3.6 Flash

Google · 1.05M context · $0.9/M input · $4.5/M output

Gemini 3.5 Flash Lite

Google · 1.05M context · $0.18/M input · $1.5/M output

Kimi K3

MoonshotAI · 1.05M context · $2.55/M input · $12.75/M output

Grok 4.5

Grok · 500K context · $1.2/M input · $3.6/M output

Minimax M3

MiniMax · 1.05M context · $0.48/M input · $0.96/M output

GLM 5.2

Z-AI · 1.05M context · $1.19/M input · $3.74/M output

Qwen3.7 Max

Qwen · 1M context · $0.28/M input · $1.12/M output

Gemini 3.5 Flash

Google · 1.05M context · $0.9/M input · $5.4/M output

DeepSeek v4 Flash

DeepSeek · 1.05M context · $0.24/M input · $0.96/M output

DeepSeek v4 Pro

DeepSeek · 1.05M context · $1.056/M input · $3.168/M output

Kimi K2.6

MoonshotAI · 262K context · $0.8075/M input · $3.4/M output

Minimax M2.5

MiniMax · 205K context · $0.24/M input · $0.96/M output

Kimi K2.5

MoonshotAI · 262K context · $0.51/M input · $2.55/M output

Doubao Seed 1.6 Thinking (Build 250715)

Bytedance · 262K context · $0.0971/M input · $0.9714/M output

Doubao Seed 1.6 Thinking (Build 250615)

Bytedance · 262K context · $0.0971/M input · $0.9714/M output

Doubao Seed 1.6 Flash (Build 250615)

Bytedance · 262K context · $0.0182/M input · $0.1821/M output

Real-Time Strategic Intelligence via gemini-3.1-pro-preview/web-search

Stop relying on outdated training data and leverage the live internet with gemini-3.1-pro-preview/web-search on GPT Proto. This model is engineered to synthesize massive amounts of web-based information into actionable insights instantly. Deploy your first instance today at gptproto.com/model.

Solving the Dynamic Data Gap with gemini-3.1-pro-preview/web-search

The primary friction point in modern AI workflows is the knowledge cutoff. Most large language models are snapshots of the past. However, gemini-3.1-pro-preview/web-search bridges this gap by functioning as a living organism connected to the global web. Whether you are tracking stock market fluctuations, emerging software vulnerabilities, or geopolitical shifts, gemini-3.1-pro-preview/web-search retrieves and analyzes information in real-time. This eliminates the hallucination risks associated with models trying to 'guess' recent events, making gemini-3.1-pro-preview/web-search the safest choice for data-critical applications.

Technical architecture within gemini-3.1-pro-preview/web-search allows it to process up to 128k context tokens while simultaneously performing multi-step search queries. This means gemini-3.1-pro-preview/web-search doesn't just look at one website; it cross-references multiple sources to provide a verified, comprehensive answer. On GPT Proto, we ensure that these intensive web-crawling operations are executed with maximum throughput and minimum downtime.

High-Frequency Market Analysis Use Case

Financial analysts use gemini-3.1-pro-preview/web-search to monitor live earnings calls and sentiment across social platforms. By utilizing gemini-3.1-pro-preview/web-search, users can automate the collection of SEC filings and compare them against live news feeds. The ability of gemini-3.1-pro-preview/web-search to understand nuanced financial terminology while verifying facts against the latest web data provides a quantitative edge that static models cannot match.

Agile Software Development and Troubleshooting

For developers, gemini-3.1-pro-preview/web-search is indispensable for debugging frameworks that update weekly. Instead of struggling with documentation from 2023, gemini-3.1-pro-preview/web-search pulls the latest GitHub issues, StackOverflow discussions, and official release notes. When you query gemini-3.1-pro-preview/web-search about a specific library error, it searches for the exact version you are using, providing a fix based on the most recent community knowledge.

"The integration of gemini-3.1-pro-preview/web-search on the GPT Proto platform has redefined how we approach competitive intelligence. The model's ability to cite live sources while maintaining a coherent logical thread is a massive leap forward for the industry."

Unmatched Stability for gemini-3.1-pro-preview/web-search on GPT Proto

Running a model as complex as gemini-3.1-pro-preview/web-search requires more than just an API key; it requires an optimized environment. GPT Proto provides a dedicated gateway for gemini-3.1-pro-preview/web-search that minimizes latency and maximizes request success rates. Our platform architecture is designed to handle the variable response times often associated with web-searching models, providing a smooth user experience. Learn more about our technical stack at docs.gptproto.com/introduction.

Feature Standard LLM gemini-3.1-pro-preview/web-search on GPT Proto
Knowledge Cutoff Fixed (Static) None (Live Web Access)
Fact Verification Probabilistic Source-Linked Citations
Reasoning Depth Variable Pro-Tier Logic Engine
Platform Billing Opaque Credits Transparent Top-up Balance

Simplified Usage and Transparent Costs

We believe in straightforward pricing for high-end models like gemini-3.1-pro-preview/web-search. At GPT Proto, we have eliminated confusing credit systems. To use gemini-3.1-pro-preview/web-search, simply visit your Billing Center to top-up balance. This pay-as-you-go approach ensures you only pay for the exact resources gemini-3.1-pro-preview/web-search consumes during its web-search and processing phases. Manage your deployment and monitor usage in real-time through the GPT Proto Dashboard.

As the AI landscape evolves, gemini-3.1-pro-preview/web-search remains at the forefront of the 'Search-Augmented' era. By utilizing this model on our platform, you are investing in a future where information is never stale and insights are always verified. Stay updated on the latest enhancements to gemini-3.1-pro-preview/web-search by visiting the GPT Proto Blog.

Comprehensive Guide to gemini-3.1-pro-preview/web-search Queries

Everything you need to know about implementing gemini-3.1-pro-preview/web-search for real-time data retrieval on GPT Proto.

What makes gemini-3.1-pro-preview/web-search different from standard Gemini Pro?

The gemini-3.1-pro-preview/web-search model includes a specialized search tool that allows it to browse the internet in real-time, whereas standard versions rely on static training data.

How do I start using gemini-3.1-pro-preview/web-search on GPT Proto?

To begin, log into your account, add funds to your top-up balance, and select gemini-3.1-pro-preview/web-search from the model library.

Does gemini-3.1-pro-preview/web-search provide citations for its web results?

Yes, gemini-3.1-pro-preview/web-search is designed to provide URLs and source references for the information it retrieves from the web.

What is the context window size for gemini-3.1-pro-preview/web-search?

The gemini-3.1-pro-preview/web-search model supports a large context window, typically up to 128k tokens, allowing for extensive data analysis.

Is gemini-3.1-pro-preview/web-search suitable for coding tasks?

Absolutely, gemini-3.1-pro-preview/web-search can search for the latest documentation and library updates, making it superior for modern coding workflows.

How is billing handled for gemini-3.1-pro-preview/web-search?

Usage of gemini-3.1-pro-preview/web-search is deducted from your top-up balance on GPT Proto; we never use a credit-based system.

Can gemini-3.1-pro-preview/web-search access behind paywalls?

No, gemini-3.1-pro-preview/web-search follows standard web crawling protocols and can only access publicly available information.

Is my data used to train gemini-3.1-pro-preview/web-search?

When using gemini-3.1-pro-preview/web-search on GPT Proto, your data is handled via private API calls and is not used for model retraining.

Does gemini-3.1-pro-preview/web-search support multiple languages?

Yes, gemini-3.1-pro-preview/web-search can search the web in dozens of languages and translate the findings back to your preferred language.

What is the latency like for gemini-3.1-pro-preview/web-search?

While web searching adds a slight delay, gemini-3.1-pro-preview/web-search is optimized on GPT Proto to provide responses in a matter of seconds.

Can I use gemini-3.1-pro-preview/web-search for image analysis too?

Yes, gemini-3.1-pro-preview/web-search is multimodal, meaning it can process both text and images while performing web searches.

Why should I choose gemini-3.1-pro-preview/web-search over a standard search engine?

Unlike a search engine, gemini-3.1-pro-preview/web-search synthesizes information from multiple pages into a coherent, reasoned answer.

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