DeepSeek R1 is here: 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.
OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Apps using R1
Top public apps this week using this model
Recent activity on R1
Tokens processed per day
Versions by Token Share
Uptime stats for R1
Uptime stats for R1 across all providers
Sample code and API for R1
OpenRouter normalizes requests and responses across providers for you.
OpenRouter provides an OpenAI-compatible completion API to 0 models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
from openai import OpenAI
client = OpenAI( base_url="https://openrouter.ai/api/v1", api_key="<OPENROUTER_API_KEY>",)completion = client.chat.completions.create( extra_headers={"HTTP-Referer":"<YOUR_SITE_URL>",# Optional. Site URL for rankings on openrouter.ai."X-Title":"<YOUR_SITE_NAME>",# Optional. Site title for rankings on openrouter.ai.}, extra_body={}, model="deepseek/deepseek-r1", messages=[{"role":"user","content":"What is the meaning of life?"}])print(completion.choices[0].message.content)
Using third-party SDKs
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.