Qwen3 Coder 480B A35B Instruct
latestQwen3-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.
Input <= 32k
Save 20%input tokens
output tokens
Cached $1.88$1.50/1M cached tokens
32k < Input <= 128k
Save 20%input tokens
output tokens
Cached $3.38$2.70/1M cached tokens
128k < Input <= 256k
Save 20%input tokens
output tokens
Cached $5.63$4.50/1M cached tokens
256k < Input <= 1m
Save 20%input tokens
output tokens
Cached $11.25$9.00/1M cached 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 Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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