Qwen3 Max

Qwen3 Max API

Released April 2025128K Tokens context235B params (22B active) parameters

Documentation

Qwen3 Max API enables Complex multi-step reasoning, Advanced coding and debugging, Research and analytical writing, Long-document summarization, Multilingual chat and translation, and Enterprise chatbots and assistants. Qwen3-Max is Alibaba Cloud's most powerful closed-source model in the Qwen3 series, featuring a 235B Mixture-of-Experts architecture with 22B parameters active per forward pass. It delivers frontier-level performance in complex reasoning, multilingual tasks, long-context understanding, and advanced coding β€” rivaling GPT-4o and Claude Sonnet on major benchmarks. Accessible exclusively via the DashScope API. Standout strengths include 235B MoE architecture β€” frontier-level intelligence and Up to 128K context window. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.

from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="Qwen/Qwen3-Max", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")

Serverless

API access

INPUT$1.20 /1M
CACHED INPUT$0.24 /1M
OUTPUT$6.00 /1M
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Cloud GPU VM

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Deploy with GPU VM

Interactive

Playground

INPUT$1.20 /1M
CACHED INPUT$0.24 /1M
OUTPUT$6.00 /1M
Chat in Playground

Enterprise
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Docker Support

Official Docker images for containerized deployments

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SDK Libraries

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