Qwen3 Plus
latestModel IDqwen3-plus
Balanced general-purpose model for everyday chat and analysis tasks.
128K ContextFast InferenceCodingFunction CallingMultilingual
Input <= 256k
Save 20%$0.50$0.40/1M
input tokens
$1.50$1.20/1M
output tokens
Cached $0.50$0.40/1M cached tokens
256k < Input <= 1m
Save 20%$1.50$1.20/1M
input tokens
$4.50$3.60/1M
output tokens
Cached $1.50$1.20/1M 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-Plus", 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") 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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