DeepSeek R1 0528

DeepSeek R1 0528

0528
Model IDdeepseek-r1-0528
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DeepSeek-R1-0528 is the May 2025 update to the original DeepSeek-R1. Built on the DeepSeek-V3 backbone with 671B total parameters and 37B active per inference pass (MoE), it achieves performance on par with OpenAI o1. Key improvements include 87.5% on AIME 2025 (up from 70%), reduced hallucinations, enhanced front-end capabilities, and newly added JSON output and function calling support.

128K Tokens ContextFast InferenceCodingFunction CallingMultilingual
Save 20%
$0.72$0.57/1M

input tokens

$2.87$2.29/1M

output tokens

Cached $0.72$0.57/1M 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-R1-0528", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=16384, temperature=0.6, 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")

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