DeepSeek V4 Pro API
Released 2026 | 393,216 Tokens context | V4 family parameters
DeepSeek V4 Pro API enables advanced reasoning assistants, complex coding workflows, and high-accuracy enterprise automation. DeepSeek V4 Pro is the premium variant in the DeepSeek V4 family, focused on stronger reasoning and coding quality when prompts are hard or multi-step. Use it when Flash is not enough for accuracy, reliability on long tool chains, or deep analysis. Standout strengths include Higher quality output for difficult prompts and Better reliability on multi-step tasks. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.
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-V4-Pro", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=393216, temperature=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")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-V4-Pro", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=393216, temperature=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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