Qwen-Max

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Overview

An ultra-large language model with hundreds of billions of parameters of the Qwen2.5 series. It supports inputs in multiple languages, such as Chinese and English. With the model's continuous upgrades, Qwen-Max will be updated periodically. If you wish to use a fixed version, use the snapshot version instead.

Input

Text

Output

Text

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

Input
$1.6Per 1M tokens
Output
$6.4Per 1M tokens
Input(Implicit Cache)
$0.32Per 1M tokens
Input(Batch File)
$0.8Per 1M tokens
Output(Batch File)
$3.2Per 1M tokens

Rate Limits & Context

Max Input
30K
Max Output
8K
Context
32K
TPMTokens Per Minute
1M
RPMRequests Per Minute
600

API Reference

Call API

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import os
from openai import OpenAI

client = OpenAI(
    # If the environment variable is not set, replace it with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen-max",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who are you?"},
    ],
    stream=True
)
for chunk in completion:
    print(chunk.choices[0].delta.content, end="", flush=True)