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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: 'qwen-plus',
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="qwen-plus",
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}")
-
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Product Detail
Introducing Qwen-Plus: Alibaba Cloud's Advanced LLM
Qwen-Plus, developed by Alibaba Cloud and released on January 25, 2025, is a cutting-edge text-based Large Language Model (LLM) designed for robust multilingual capabilities and superior performance across complex tasks.
Model Name: Qwen-Plus
Developer: Alibaba Cloud
Release Date: January 25, 2025
Model Type: Text-based LLM
Key Features of Qwen-Plus ⭐
- Multilingual Support: Seamlessly handles various languages, including Chinese and English, enabling broad global applications.
- Enhanced Reasoning Capabilities: Provides superior cognitive abilities for understanding and solving complex analytical tasks.
- Improved Instruction Following: Highly adept at accurately interpreting and executing detailed user instructions.
Qwen-Plus API Pricing 💰
Qwen-Plus offers competitive API pricing with a tiered structure based on token volume:
Input Tokens
- 0–256k tokens: $0.42 per million tokens
- 256k+ tokens: $1.26 per million tokens
Output Tokens
- 0–256k tokens: $1.26 per million tokens
- 256k+ tokens: $3.78 per million tokens
Intended Applications & Use Cases 💡
Qwen-Plus is engineered for a broad spectrum of applications, including advanced natural language understanding, sophisticated text generation, and diverse multilingual tasks. Its enhanced reasoning and precise instruction-following capabilities make it particularly well-suited for complex problem-solving and detailed analytical tasks across various industries.
Technical Specifications ⚙️
Architecture:
Qwen-Plus is built upon the robust Transformer architecture, a foundational technology for many state-of-the-art language models. This design facilitates efficient sequential data processing and leverages advanced attention mechanisms for superior performance.
Training Data:
- Dataset Size: Trained on a massive 18 trillion tokens, providing an extensive foundation of common sense, expert knowledge, and strong reasoning capabilities.
- Data Sources: Encompasses a diverse range of sources, including web pages, books, and other textual materials, ensuring comprehensive linguistic and topical understanding.
- Diversity & Bias Mitigation: Significant efforts have been made to minimize biases through diverse data inclusion. However, like all large language models, continuous evaluation and mitigation strategies are actively employed to address any inherent biases.
Performance Metrics:
Qwen-Plus consistently achieves top-tier performance across a wide array of benchmarks, demonstrating excellence in language understanding, complex reasoning, mathematics, coding, and human preference alignment.
Getting Started with Qwen-Plus API 🚀
Qwen-Plus is readily available on the AI/ML API platform as "Qwen Plus."
Code Samples:
For developers, code samples and integration guides are available directly on the platform to help you quickly implement Qwen-Plus into your applications.
API Documentation:
Comprehensive documentation provides all the details needed for advanced integration and optimal usage of the Qwen-Plus API.
Ethical Deployment & Responsible AI 🛡️
Developers are strongly encouraged to consider the ethical implications when deploying Qwen-Plus. This includes addressing data privacy concerns, actively engaging in bias mitigation strategies, and ensuring responsible use. Adhering to these guidelines is crucial for ensuring the model operates in a manner that respects user rights and upholds societal norms.
Licensing Information 📝
Qwen-Plus is distributed under specific licensing terms provided by Alibaba Cloud. Users are advised to thoroughly review this licensing information to understand all permissions and restrictions associated with the model's usage.
Frequently Asked Questions (FAQ) 🤔
Q: What is Qwen-Plus?
A: Qwen-Plus is an advanced, text-based Large Language Model (LLM) developed by Alibaba Cloud, notable for its strong multilingual support and enhanced reasoning capabilities for complex tasks.
Q: What languages does Qwen-Plus support?
A: It primarily supports multiple languages, with a particular focus on Chinese and English, making it a versatile tool for global applications and content generation.
Q: How can I access the Qwen-Plus API?
A: The Qwen-Plus API is available on the AI/ML API platform. You can find detailed documentation and sign up for access there.
Q: What are the main applications of Qwen-Plus?
A: It's ideally suited for natural language understanding, text generation, complex problem-solving, and various multilingual tasks, benefiting from its advanced reasoning and precise instruction-following abilities.
Q: Is there any bias in Qwen-Plus, and how is it addressed?
A: While significant efforts were made to minimize biases through diverse training data, like all LLMs, some biases may still exist. Alibaba Cloud employs continuous evaluation and mitigation strategies to address these issues proactively.
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