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 in an inference pass. Fully open-source model.
deepseek/deepseek-r1-0528
- Context
- 164k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-05-28
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-r1-0528",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is 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 in an inference pass. Fully open-source model. R1 0528 runs on the Geek Hub API (OpenAI-compatible). Model id: deepseek/deepseek-r1-0528.
- Is R1 0528 free?
- No. Input is $0.545 per 1M tokens and output is $2.3436 per 1M tokens on Geek Hub (markup included).
- What is the context length of R1 0528?
- R1 0528 has a 164k tokens context window. It supports up to 32,768 completion tokens.
- Does R1 0528 support tool calling and structured outputs?
- R1 0528 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was R1 0528 released?
- R1 0528 was released on 2025-05-28.
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