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deepseek/deepseek-r1-0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active i...

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32.8K max output
Input $0.50/M · Output $2.15/M · Cache read $0.35/M
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API details and access

Model Details

ProviderDeepSeek
TypeLlm
Model IDdeepseek/deepseek-r1-0528

Capabilities

InputText
OutputText
Context-
Max Output32,768
VisionNot supported
Function CallingSupported

Access details

Chat Completions
Base URLhttps://api.sandbase.ai
API Endpoint/v1/chat/completions
{
  "model": "deepseek/deepseek-r1-0528",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 512
}

Pricing

Input$0.50 / 1M tokens
Output$2.15 / 1M tokens
Cache read$0.35 / 1M tokens

Related Models

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A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)