Alibaba: Qwen Max

models/Qwen-Max

Overview

Qwen Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi step tasks. It's a large scale MoE model that has been pretrained on over 20 trillion tokens and further post trained with curated Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies.

Currency$USD

Input$1.60

Output$6.40

Context window32.8K

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Endpoint

POSThttps://api.indoxhub.com/api/v1/chat/completions

Configalibaba/qwen-max

from indoxhub import Client
 
# Initialize the client
with Client(api_key="[LOGIN TO GET API KEY]") as client:
    # Generate a chat completion
    response = client.chat(
        messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is machine learning and why is it important?"}],
        model="alibaba/qwen-max",
        temperature:"0.7"
    )
 
    # Print the response
    print(response["data"])

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