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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: 'alibaba/qwen3-max-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="alibaba/qwen3-max-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}")
-
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Product Detail
Qwen3-Max by Alibaba Cloud is a cutting-edge open-source language model designed for expansive context understanding, advanced reasoning, and high-volume content generation. Equipped with an impressive 256K-token context window, it excels in large-scale text analysis, multi-turn dialogue, and complex code synthesis. This model delivers strong performance across multilingual and quantitative benchmarks, making it ideally suited for demanding AI applications that require long-range dependency handling and intricate data processing. Licensed under Apache 2.0, Qwen3-Max offers significant commercial and research flexibility, with native support for English, Chinese, and over 10 additional languages. It notably stands out for its superior scalability and cost-efficiency for projects needing extended token capacities and robust output volumes.
🚀 Technical Specification
Performance Benchmarks
- Context Window: 256K tokens
- Max Input: 258,048 tokens
- MMLU: High-level multilingual reasoning performance
- GSM8K: Advanced mathematical reasoning on challenging tasks
Performance Metrics
Qwen3-Max demonstrates leading-edge capabilities in processing ultra-long documents and complex conversations. Its ability to maintain context coherence over 256K tokens surpasses most contemporary LLMs, supporting workflows that require persistent state awareness and extended creative or analytical generation. Coding benchmarks reflect its robust development use cases, while multilingual tasks confirm its balanced global language competence.
✨ Key Capabilities
Qwen3-Max delivers enterprise-grade performance for diverse AI workloads:
- ✅ Ultra-Long Context Handling: Exceptional capacity for 256K tokens enables deep document understanding, extended dialogues, and multi-document synthesis.
- 🌐 Multilingual Reasoning: Native fluency in English and Chinese with strong support across 10+ languages, including nuanced cross-lingual tasks.
- 💡 Mathematical and Logical Reasoning: Advanced quantitative problem-solving and symbolic reasoning for STEM applications.
- 💻 Code Generation and Debugging: Comprehensive coding assistance for full-stack development, spanning legacy code modernization and new system builds.
- 🔓 Open-Source Flexibility: Apache 2.0 licensed, enabling broad commercial, research, and customization opportunities.
💰 API Pricing
- ➡️ Input price per million tokens:
- $1.26 (0–32K tokens)
- $2.52 (32K–128K tokens)
- $3.15 (128K–252K tokens)
- ⬅️ Output price per million tokens:
- $6.30 (0–32K tokens)
- $12.60 (32K–128K tokens)
- $15.75 (128K–252K tokens)
🎯 Optimal Use Cases
- 📄 Enterprise-scale document analysis and report generation requiring ultra-long context.
- 💬 Complex multi-turn chatbots and virtual assistants maintaining long conversation histories.
- 🔬 Large-scale scientific data interpretation and technical research support.
- ⚙️ Advanced software engineering workflows integrating code generation with debugging and testing.
- 🌍 Multilingual content generation, translation, and localization for global platforms.
👨💻 Code Sample
<snippet data-name="open-ai.chat-completion" data-model="alibaba/qwen3-max-preview"></snippet>
⚖️ Comparison with Other Models
- 🆚 Vs. Qwen3-32B: Superior context window (256K vs 131K tokens) for larger document processing but with higher pricing tiers.
- 🆚 Vs. OpenAI GPT-4 Turbo: Greater token capacity enabling longer context retention; competitive pricing on large-volume outputs.
- 🆚 Vs. Gemini 2.5-Pro: Comparable high-end performance with improved open-source accessibility through Apache 2.0 licensing.
- 🆚 Vs. Mixtral-8x22B: Enhanced reasoning and coding scalability with broader multilingual support.
⚠️ Limitations
While Qwen3-Max provides unprecedented token capacity and advanced reasoning, it incurs higher API costs at the upper token ranges and may show some latency differences in ultra-long context scenarios compared to smaller models optimized for speed. Additionally, some benchmark scores await public confirmation but are expected to align with the high standard set by the Qwen3 family.
❓ Frequently Asked Questions (FAQ)
Q: What is Qwen3-Max by Alibaba Cloud?
A: Qwen3-Max is a cutting-edge open-source language model developed by Alibaba Cloud, known for its expansive context understanding, advanced reasoning, and high-volume content generation capabilities, featuring a 256K-token context window.
Q: What is the maximum context window capacity of Qwen3-Max?
A: It boasts an impressive 256K-token context window, allowing it to handle extremely long documents, complex multi-turn conversations, and extensive data analysis tasks effectively.
Q: Is Qwen3-Max an open-source model, and what is its license?
A: Yes, Qwen3-Max is an open-source model, licensed under Apache 2.0. This provides extensive flexibility for both commercial deployment and academic research.
Q: What are the primary optimal use cases for Qwen3-Max?
A: Its optimal use cases include enterprise-scale document analysis, complex multi-turn chatbots, large-scale scientific data interpretation, advanced code generation and debugging, and multilingual content creation for global platforms.
Q: How does Qwen3-Max compare in terms of pricing and token capacity with other leading models?
A: Qwen3-Max offers superior token capacity (256K) compared to many contemporaries like Qwen3-32B (131K) and OpenAI GPT-4 Turbo. While it incurs higher API costs at the upper token ranges, it maintains competitive pricing for large-volume outputs, especially considering its extended context capabilities.
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