DeepSeek V3.2 API
Released December 2025 | 128K Tokens context | 685B params parameters
DeepSeek V3.2 API enables Advanced reasoning & agent tasks, Long-horizon agentic tool use, Mathematical competition problems (IMO/IOI level), Code generation and complex debugging, Enterprise automation, and Long-context document analysis. DeepSeek-V3.2 is DeepSeek's frontier open-source model with 685B total parameters and novel DeepSeek Sparse Attention (DSA) that reduces long-context computational cost by 50%. Trained with a scalable RL framework, it achieves performance comparable to GPT-5, earning gold-medal results at the 2025 IMO and IOI. The model includes reasoning and tool-use capabilities through large-scale agentic synthesis. Standout strengths include DeepSeek Sparse Attention — 50% compute savings on long contexts and GPT-5-class performance on reasoning benchmarks. 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-V3.2", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=8192, temperature=1, top_p=0.95, 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-V3.2", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=8192, temperature=1, top_p=0.95, 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
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