The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought.
The o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the launch announcement.
Providers for o1
OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Apps using o1
Top public apps this week using this model
Recent activity on o1
Tokens processed per day
Uptime stats for o1
Uptime stats for o1 across all providers
Sample code and API for o1
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="openai/o1", messages=[{"role":"user","content":[{"type":"text","text":"What is in this image?"},{"type":"image_url","image_url":{"url":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"}}]}])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.