Qwen3 Coder 30B A3B Instruct
v1Qwen3-Coder-30B-A3B-Instruct is a sparse Mixture-of-Experts (MoE) model with around 30.5B total parameters (3.3B active per inference), 48 layers, supporting extremely long context (native 262,144 tokens — extendable to 1M in some deployments).
Input <= 32k
Save 20%input tokens
output tokens
32k < Input <= 128k
Save 20%input tokens
output tokens
128k < Input <= 256k
Save 20%input tokens
output tokens
256k < Input <= 1m
Save 20%input tokens
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-30B-A3B-Instruct", messages=[ { "role": "user", "content": "Write a Python function to calculate fibonacci sequence" } ], max_tokens=65536, temperature=0.7, top_p=0.8, 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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