Qwen3 Coder 480B A35B Instruct

Qwen3 Coder 480B A35B Instruct

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Model IDqwen3-coder-480b-a35b-instruct
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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.

262K Tokens ContextFast InferenceCodingFunction CallingMultilingual

Input <= 32k

Save 20%
$1.88$1.50/1M

input tokens

$9.38$7.50/1M

output tokens

32k < Input <= 128k

Save 20%
$3.38$2.70/1M

input tokens

$16.88$13.50/1M

output tokens

128k < Input <= 256k

Save 20%
$5.63$4.50/1M

input tokens

$28.13$22.50/1M

output tokens

256k < Input <= 1m

Save 20%
$11.25$9.00/1M

input tokens

$112.50$90.00/1M

output tokens

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")

Enterprise
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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