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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-max-2025-09-23',
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-max-2025-09-23",
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
Discover Qwen Max 2025-09-23: Alibaba's Advanced MoE Language Model
Developed by Alibaba, Qwen Max 2025-09-23 stands as a cutting-edge, large-scale Mixture-of-Experts (MoE) language model designed for unparalleled performance in diverse AI applications. This powerful model excels in chat interactions, complex coding challenges, and intricate problem-solving tasks, setting a new standard for intelligent systems.
Its innovative Transformer-based MoE architecture incorporates expert routing, intelligently activating only a subset of parameters per token. This design ensures an optimal balance between high performance and impressive computational efficiency. With pre-training on over 20 trillion tokens from vast multilingual and domain-specific corpora, Qwen Max is primed for deep reasoning and advanced text generation.
Technical Specifications & Core Architecture
- ★ Architecture: Transformer-based Mixture-of-Experts (MoE) with selective expert activation for each input token.
- ★ Total Parameters: Tailored for large-scale MoE designs, focusing on efficient activation rather than total count.
- ★ Pre-training Data: Exceeds 20 trillion tokens, encompassing extensive English, Chinese, and various major world languages.
- ★ Context Window: An impressive 262K tokens natively, supporting long-form understanding and generation.
- ★ Language Support: Primarily optimized for English and Chinese, offering robust bilingual capabilities.
- ★ Training Methods: Utilizes Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) for superior output quality.
Key Capabilities & Benefits
- ✔ Efficient MoE Design: Delivers strong performance with significantly reduced computational overhead, making it cost-effective.
- ✔ Bilingual Proficiency: Seamlessly supports both English and Chinese, opening broad application scenarios across global markets.
- ✔ Expert in Coding & Problem-Solving: Excels in generating code, tackling complex problems, and enhancing conversational AI experiences through sophisticated reasoning.
- ✔ Advanced Fine-Tuning: Employs sophisticated fine-tuning strategies to ensure high-quality generation and strong alignment with human preferences and instructions.
Performance Metrics
How to Access and Use Qwen Max
Qwen Max 2025-09-23 is readily available on the AI/ML API platform. Developers can integrate this powerful model into their applications using its designated name: "Qwen Max 2025-09-23".
💡 Access Qwen Max API
Get started with Qwen Max 2025-09-23 API by signing up on the platform.
📄 Detailed API Documentation
For comprehensive integration guidelines and code examples, refer to the official API Documentation.
Ethical Guidelines and Licensing
- ▶ Transparency: Alibaba is committed to transparency regarding Qwen Max's capabilities and inherent limitations.
- ▶ Responsible Use: Users are strongly encouraged to adhere to responsible and ethical practices to prevent misuse or the generation of harmful content.
- ▶ Licensing: Usage is governed by specific licensing terms provided by Alibaba Cloud. Users must review these permissions and restrictions thoroughly before deployment.
Frequently Asked Questions (FAQ)
Q1: What makes Qwen Max 2025-09-23 unique?
A: Its Transformer-based Mixture-of-Experts (MoE) architecture with expert routing allows for high performance by activating only a subset of parameters, ensuring both efficiency and powerful capabilities in chat, coding, and problem-solving.
Q2: What languages does Qwen Max primarily support?
A: Qwen Max is primarily optimized for both English and Chinese, offering robust bilingual proficiency for diverse application scenarios.
Q3: How extensive is its context window?
A: It boasts an impressive native context window of 262K tokens, enabling it to process and understand very long inputs and generate coherent, extended responses.
Q4: Where can I find the API for Qwen Max 2025-09-23?
A: The model is available on the AI/ML API platform. You can sign up there to get access to the API and integrate it into your projects.
Q5: Are there any ethical guidelines for using Qwen Max?
A: Yes, Alibaba emphasizes transparency and encourages responsible, ethical use to prevent misuse. Users should review the specific licensing terms provided by Alibaba Cloud for usage permissions and restrictions.
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