DeepSeek V3
latestDeepSeek-V3 is a 671B-parameter Mixture-of-Experts model (37B active) that combines Multi-head Latent Attention with multi-token prediction to deliver fast, cost-efficient reasoning over a 128K context window.
input tokens
output tokens
Cached $0.07$0.06/1M 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="deepseek-ai/DeepSeek-V3", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=1, stream=True, extra_body={ "enable_thinking": False, } ) 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
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