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deepseek-r1-0528 vs deepseek-v4-pro

Compare deepseek-r1-0528 from deepseek and deepseek-v4-pro from deepseek side by side — pricing, context window, features, and provider availability.

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deepseek-r1-0528

deepseek-r1-0528

By : deepseek

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.

deepseek-v4-pro

deepseek-v4-pro

By : deepseek

In addition to DeepSeek, TencentCloud and AlibabaCloud now also offer the official 0731 version, while other providers are still using the old 0424 version. . DeepSeek V4 Pro is DeepSeek’s flagship open-weight Mixture-of-Experts model, released in preview on April 24, 2026. It features 1.6 trillion total parameters, with 49 billion activated per token, and supports a one-million-token context window. Designed for advanced reasoning, coding, STEM tasks, and autonomous agents, it delivers state-of-the-art performance among open models and rivals leading proprietary systems. The model supports both thinking and non-thinking modes and is available through DeepSeek’s applications and APIs.

Model Overview

Feature
deepseekdeepseek-r1-0528
deepseekdeepseek-v4-pro
Input Context Window
The number of tokens supported by the input context window.
64K
tokens
1M
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
64K
tokens
384K
tokens
Release Date
When the model was first released.
May 28, 2025
1 year ago
August 12, 2026
2 months ago
Input Type
The types of inputs the model can process.
Output Type
The types of outputs the model can process.
deepseek-v4-pro offers a larger context window (1,000,000 tokens vs 64,000 tokens). deepseek-r1-0528 is more affordable for input tokens ($0.56/M vs $0.66/M). deepseek-v4-pro is cheaper for output tokens ($1.98/M vs $2.23/M). deepseek-v4-pro has lower latency (643ms vs 2165ms). deepseek-v4-pro achieves higher throughput (64 tok/s vs 22 tok/s). deepseek-r1-0528 supports reasoning capabilities, while deepseek-v4-pro does not.

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How to use deepseek-r1-0528 or deepseek-v4-pro

Simply change the model name to deepseek-r1-0528 or deepseek-v4-pro to adjust the model. 开桥 normalizes requests and responses across providers for you.

from openai import OpenAI

client = OpenAI(
  base_url="https://openqiao.com/api/v1",
  api_key="<OPENQIAO_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="deepseek-r1-0528",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

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