Qwen3 Coder 480B A35B Instruct

Qwen3 Coder 480B A35B Instruct API

Released 2025256K Tokens context480B params (35B active) parameters

Documentation

Qwen3 Coder 480B A35B Instruct API enables Large codebase refactoring, Multi-file code generation, Complex algorithm design, System architecture, Advanced debugging, and Tool-calling agent workflows. Qwen3-Coder-480B-A35B-Instruct is Alibaba's flagship open-source coding model powered by a sparse Mixture-of-Experts (MoE) architecture with 480B total parameters and 35B activated per forward pass. It achieves state-of-the-art (SOTA) performance among open-source models, supporting up to 256K context. Ideal for agentic coding, complex refactoring, and large-scale software engineering. Standout strengths include SOTA open-source coding model and 480B MoE with only 35B active per token. It is a strong fit for coding copilots, repository workflows, and tool-augmented engineering assistants in production environments.

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-Coder-480B-A35B-Instruct", messages=[ { "role": "user", "content": "Write a Python function to calculate fibonacci sequence" } ], max_tokens=8192, temperature=0.1, 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")

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INPUT$1.50 /1M
OUTPUT$7.50 /1M
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Interactive

Playground

INPUT$1.50 /1M
OUTPUT$7.50 /1M
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Official Docker images for containerized deployments

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