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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'google/gemini-3-pro-preview',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="google/gemini-3-pro-preview",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
✨ Introducing Gemini 3 Pro API: Google's groundbreaking multimodal AI model, engineered for unparalleled reasoning, deep problem-solving, and an expansive context window. Set to redefine AI performance in 2025, Gemini 3 Pro excels across a diverse range of tasks, including advanced coding, complex reasoning, sophisticated multimodal understanding, and processing extensive long-form content. Its innovative "Deep Think" mode represents the pinnacle of the Gemini series, pushing the boundaries of artificial intelligence.
Technical Specifications
- Model Type: Multimodal large language model
- Modalities Supported: Text, image, audio, video, code generation
- Context Window: Over 1 million tokens for extended memory and comprehensive document understanding
- Architecture: Advanced transformer backbone with enhanced reasoning and multimodal layers
- Code Execution: Supported in "Deep Think" mode for advanced problem-solving
Performance Benchmarks
🚀 Industry-Leading Performance: Across critical reasoning, multimodal tasks, and coding benchmarks, Gemini 3 Pro not only significantly exceeds the capabilities of Gemini 2.5 Pro but also ranks above competitors like GPT-5.1 and Claude Sonnet 4.5 in the majority of evaluated categories, setting new industry standards.
Key Features
- 💡 Advanced Multimodal Reasoning: Seamlessly processes and understands text, images, short videos, audio, and SVG content.
- 🧠 Deep Think Mode: Offers enhanced step-by-step reasoning, superior long-horizon planning, and the capability to solve novel and complex challenges.
- 📚 Extended Context Window: Effortlessly processes entire codebases, voluminous documents, or comprehensive research papers in a single, continuous interaction.
- 💻 Superior Coding Capabilities: Provides automated code generation, advanced debugging tools, and optimization across multiple programming languages.
Gemini 3 API Pricing
≤ 200K tokens
- Input: $2.10 / 1M tokens
- Output: $12.60 / 1M tokens
> 200K tokens
- Input: $4.20 / 1M tokens
- Output: $18.90 / 1M tokens
Versatile Use Cases
- 🔬 Scientific Research & Analysis: Accelerate scientific discovery and summarize large research documents with deep contextual understanding.
- ⚖️ Legal & Financial Document Review: Conduct thorough legal and financial document reviews with advanced contextual comprehension.
- 👩💻 Software Development: Enhance software development workflows through automated code generation, precise debugging, and efficient architecture planning.
- 🗣️ Interactive AI Assistants: Power intelligent AI assistants capable of managing complex, multi-step workflows, such as scheduling and comprehensive email management.
- 🖼️ Visual Content Analysis: Perform sophisticated visual content analysis, including advanced image recognition and detailed video content understanding.
- 🌍 Multilingual & Cross-Cultural AI: Develop and deploy robust multilingual and cross-cultural AI applications tailored for global teams and diverse user bases.
Code Sample
// Example API call for Gemini 3 Pro
fetch("https://api.example.com/gemini-3-pro/chat", {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
"model": "google/gemini-3-pro-preview",
"messages": [
{ "role": "user", "content": "Explain quantum entanglement in simple terms." }
],
"max_tokens": 500
})
})
.then(response => response.json())
.then(data => console.log(data));
Comparison with Other Leading Models
↔️ Gemini 3 Pro vs. GPT-5.1
Gemini 3 Pro offers native multimodal capabilities with superior real-time tool orchestration, including SVG and video generation, significantly outperforming GPT-5.1 in reasoning exams and coding accuracy. GPT-5.1 largely remains text-based with limited multimodal support.
↔️ Gemini 3 Pro vs. Claude 4.5 Sonnet
Gemini 3 excels with higher accuracy in complex reasoning and coding tasks compared to Claude 4.5 Sonnet, which shows moderate performance and less detailed explanations. Additionally, Gemini 3 handles larger context windows more effectively, enabling superior long-document understanding.
↔️ Gemini 3 Pro vs. Claude Opus 4.1
While Claude Opus 4.1 provides the deepest reasoning, suited for mission-critical enterprises with premium pricing, Gemini 3 delivers a balanced combination of robust multimodal processing, extensive context windows, and high reasoning capabilities, making it a powerful and versatile choice for a broader range of applications.
Frequently Asked Questions (FAQ)
Q1: What are the primary strengths of the Gemini 3 Pro API?
A: Gemini 3 Pro's key strengths include advanced multimodal reasoning, deep problem-solving capabilities, and a massive context window of over 1 million tokens, making it highly versatile for complex AI tasks.
Q2: How does Gemini 3 Pro's "Deep Think" mode enhance its capabilities?
A: Deep Think mode provides Gemini 3 Pro with enhanced step-by-step reasoning, improved long-horizon planning, and the ability to effectively solve novel and complex challenges.
Q3: Is Gemini 3 Pro suitable for processing very large documents or codebases?
A: Yes, with its extended context window exceeding 1 million tokens, Gemini 3 Pro is specifically designed to efficiently process entire codebases, voluminous documents, and comprehensive research papers in a single go.
Q4: How does Gemini 3 Pro compare to GPT-5.1 in terms of features and performance?
A: Gemini 3 Pro offers native multimodal capabilities and superior real-time tool orchestration, significantly outperforming GPT-5.1 in reasoning and coding benchmarks, which is primarily text-based with limited multimodal support.
Q5: What are some practical applications or use cases for the Gemini 3 Pro API?
A: Practical applications include scientific research analysis, legal and financial document review, advanced software development (code generation, debugging), interactive AI assistants, visual content analysis, and global multilingual AI applications.
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