Qwen3 Max

Alibaba Qwen chatreasoningtool_usecode Long

API ID: qwen/qwen3-max

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Input Price
$1.20
/1M tokens
Output Price
$6.00
/1M tokens

About Qwen3 Max

Qwen3 Max is Alibaba's most capable cloud-hosted model, delivering maximum performance through the Qwen API. The model excels at complex reasoning, coding, and multilingual tasks. Qwen3 Max represents Alibaba's flagship cloud AI offering. For applications requiring maximum Alibaba AI capability, Qwen3 Max provides top-tier performance.

💰
Price Ranking
#876 lowest price among 950 Chat models

Model Specifications

Context Length
262k
Max Output
33k
Release Date
2025-09-23
Capabilities
chat reasoning tool_use code
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$2.34
/month
50 conversations/day, ~500 tokens each
Code Copilot
$20.16
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$72.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$99.00
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Alibaba Qwen Model Lineup

Compare all models from Alibaba Qwen to find the best fit

Model Input Output Context Capabilities
Qwen3 Max Current Free Free 262k chat reasoning tool_use code
Qwen2.5-VL 7B Instruct Free Free 33k chat vision tool_use
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
View All Alibaba Qwen Models →

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🚀 Quick Start

Get started with Qwen3 Max API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3-max",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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