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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: 'gemini-2.0-flash-thinking-exp-01-21',
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="gemini-2.0-flash-thinking-exp-01-21",
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 2.0 Flash Thinking Experimental
Discover the next generation of AI with Gemini 2.0 Flash Thinking Experimental, Google DeepMind's groundbreaking multimodal AI reasoning model. Launched on January 21, 2025, this initial version (1.0) is meticulously crafted to excel in complex multimodal tasks including programming, advanced mathematics, and scientific reasoning. It significantly enhances the ability to logically process intricate challenges while transparently articulating its thought process, making it an indispensable tool for a diverse range of applications.
💡 Essential Information:
- • Model Name: Gemini 2.0 Flash Thinking Experimental
- • Developer/Creator: Google DeepMind
- • Release Date: January 21, 2025
- • Model Type: Multimodal AI Reasoning Model
🚀 Key Capabilities & Innovative Features
-
✅
1 Million Token Context Window: A significant leap forward, allowing the model to process exceptionally long-form texts and intricate queries with enhanced contextual understanding.
-
💻
Native Code Execution Support: Revolutionize programming tasks as the model can directly write and execute code as an integral part of its responses, boosting efficiency and utility.
-
🧠
Enhanced Reasoning Mechanism: Prompts are intelligently decomposed into smaller, manageable sub-tasks, leading to superior analytical depth and more coherent, synthesized outputs.
-
📈
Superior Performance Metrics: Demonstrates remarkable aptitude, achieving impressive scores such as 73.3% on AIME2024 and 74.2% on GPQA Diamond.
-
📸
Multimodal Input Support: Offering unparalleled versatility, the model seamlessly processes both text and image inputs, enabling it to handle diverse data types with ease.
🎯 Ideal Applications & Target Audience
The Gemini 2.0 Flash Thinking Experimental model is meticulously engineered for developers, researchers, and educators who require cutting-edge reasoning capabilities in their projects. It proves exceptionally valuable for tasks involving:
- • Solving complex, multifaceted problems
- • Tackling intricate coding challenges
- • Conducting in-depth scientific inquiries
While its core support is for English, the model's architecture allows for adaptability to multiple languages, accommodating diverse user requirements.
⚙️ Technical Specifications
🏗️ Model Architecture:
Gemini 2.0 Flash Thinking Experimental is built upon a cutting-edge transformer-based architecture, specifically optimized for high-performance multimodal reasoning tasks.
- • Total Parameters: Currently undisclosed by Google DeepMind.
- • Attention Mechanisms: Integrates sophisticated attention mechanisms to significantly enhance context understanding across varied data inputs.
- • Native Tool Use: Features built-in support for direct functionalities, including code execution, seamlessly integrated within the model's responses.
📚 Training Data Overview:
The model underwent extensive training on a highly diverse dataset, encompassing a wide array of programming languages, complex mathematical problems, and comprehensive scientific literature.
- • Data Source & Size: The training dataset comprises an approximate total of 14 trillion tokens, sourced from publicly available texts and vast code repositories.
- • Knowledge Cutoff: The model's acquired knowledge is current up to August 2024.
- • Diversity & Bias Mitigation: The training data was meticulously curated to minimize potential biases while maximizing diversity across topics and styles, ensuring robust and fair performance in varied scenarios.
📊 Performance Metrics & Benchmarking:
Gemini 2.0 Flash has consistently delivered strong performance metrics across various benchmarks, highlighting its advanced capabilities.
Note: For detailed comparative analysis against other models, please refer to the official Google DeepMind publications and API documentation.
🔌 Access & Integration
💻 API Access & Code Samples:
Integrate the powerful capabilities of Gemini 2.0 Flash Thinking Experimental into your applications. The model is readily available on the AI/ML API platform under the name "Gemini 2.0 Flash Thinking Experimental".
// Example: Making a chat completion request using curl
curl -X POST "https://api.ai.cc/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gemini-2.0-flash-thinking-exp-01-21",
"messages": [
{"role": "system", "content": "You are a highly capable AI assistant."},
{"role": "user", "content": "Summarize the key advancements in quantum computing in the last decade."}
]
}'
Note: Secure your YOUR_API_KEY from the AI/ML API platform after signing up.
📄 Comprehensive API Documentation:
For detailed instructions on integration, API endpoints, parameter specifications, and advanced usage guides, please refer to the extensive official API Documentation.
🛡️ Ethical Considerations
Google DeepMind is deeply committed to fostering ethical AI development. We champion transparency regarding the capabilities and inherent limitations of Gemini 2.0 Flash. Users are strongly encouraged to practice responsible usage to mitigate any potential misuse or the development of harmful applications from generated content.
⚖️ Licensing & Commercial Use
Gemini 2.0 Flash Thinking Experimental is offered under a commercial license. This license encompasses rights for both academic research and commercial applications, ensuring adherence to ethical standards and respecting intellectual property rights.
Ready to harness its power? Access the Gemini 2.0 Flash Thinking Experimental API here today!
❓ Frequently Asked Questions (FAQ)
Q1: What exactly is Gemini 2.0 Flash Thinking Experimental?
A: It's Google DeepMind's advanced multimodal AI reasoning model (Version 1.0, released Jan 21, 2025) capable of tackling complex tasks in programming, mathematics, and scientific reasoning, featuring a 1 million token context window and native code execution.
Q2: Who is the primary audience for this model?
A: This model is designed for developers, researchers, and educators who require sophisticated AI for complex problem-solving, coding challenges, and in-depth scientific inquiries.
Q3: Does Gemini 2.0 Flash support multiple human languages?
A: While primarily supporting English, the model can be configured to accommodate and process multiple languages based on specific user requirements.
Q4: How can I integrate Gemini 2.0 Flash Thinking Experimental into my projects?
A: You can access and integrate the model via the AI/ML API platform. Comprehensive API Documentation is available for detailed implementation instructions.
Q5: What is the knowledge cutoff for the Gemini 2.0 Flash Thinking Experimental model?
A: The model's training data ensures its knowledge base is current as of August 2024.
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