INPUT PRICE
Input / 1M tokens
text
OUTPUT PRICE
Input / 1M tokens
text
curl --location 'https://gptproto.com/v1beta/models/gemini-3-pro-preview:generateContent' \
--header 'Authorization: Bearer sk-***********' \
--header 'Content-Type: application/json' \
--data '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "介绍一下量子计算的基本原理"
}
]
}
],
"generationConfig": {
"temperature": 0.3,
"topP": 0.95,
"topK": 64,
"maxOutputTokens": 8192
},
"safetySettings": [
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
}
]
}'
Learn how developers and technical teams use Gemini 3 Pro to automate workflows, analyze data, and boost productivity in diverse industries.
A development team leverages Gemini 3 Pro to auto-generate structured documentation for codebases. Developers input function signatures or module summaries, and the model creates clear, detailed explanations for each. This reduces manual writing workload and improves consistency across large, multi-language projects. API integration enables real-time updates as code changes, streamlining onboarding for new contributors and enhancing overall software maintainability with high-quality, AI-generated docs.
A business analytics unit implements Gemini 3 to automate report summarization. Data exported from BI tools is parsed into text, then processed by the model for concise, executive-level overviews. This saves analysts several hours per week, delivers actionable insights more quickly, and ensures important KPIs are highlighted accurately. Custom prompt templates allow adaptation for different departments, scaling up productivity for quarterly reviews and daily operations.
A SaaS company uses Gemini 3.0 Pro to power its live support chatbot platform. Incoming customer queries are parsed by the model, which generates context-sensitive replies in real time. The solution improves customer satisfaction scores, maintains brand voice in automated interactions, and reduces ticket resolution times. Integration with the existing support backend is handled via REST APIs, leading to a seamless upgrade of customer experience and support efficiency.
Follow these simple steps to set up your account, get credits, and start sending API requests to gemini-3-pro-preview via Gptproto.

Create your free Gptproto account to begin. You can set up an organization for your team at any time.

Your balance can be used across all models on the platform, including gemini-3-pro-preview, giving you the flexibility to experiment and scale as needed.

In your dashboard, create an API key — you’ll need it to authenticate when making requests to gemini-3-pro-preview.

Use your API key with our sample code to send a request to gemini-3-pro-preview via Gptproto and see instant AI‑powered results.

Gemini 3.0 Pro is LIVE NOW via shadow release on mobile Canvas. Discover the official release date, how to access it today, real Reddit reactions, and more. Updated Nov 17, 2025.

Learn Gemini 3 Pro cost and pricing: $2-$4 per million input tokens, $12-$18 output tokens. Get 40% off with GPT Proto.

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