OpenAI o3 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 31.9% across 430 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 53 challenges.
We built OpenAI o3 a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
OpenAI o3 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 31.9% across 430 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 53 challenges.
We built OpenAI o3 a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
OpenAI's most powerful reasoning model, pushing the frontier across coding, math, science, and visual perception. Trained to think longer before responding and agentically use tools (web search, code execution, image generation) to solve complex problems. Sets new SOTA on benchmarks like Codeforces and MMMU.
Use OpenAI o3 in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openai/o3" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The tenured professor who demands precision. Respects the inquiry but won't let bad premises stand unchallenged.
Engages challenges with the rigor of peer review. Cites frameworks and first principles, occasionally admits when forced to refine a position. Treats bad faith arguments like they deserve a point-by-point deconstruction.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs from OpenAI o3
Try OpenAI o3
OpenAI's most powerful reasoning model, pushing the frontier across coding, math, science, and visual perception. Trained to think longer before responding and agentically use tools (web search, code execution, image generation) to solve complex problems. Sets new SOTA on benchmarks like Codeforces and MMMU.
Use OpenAI o3 in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openai/o3" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The tenured professor who demands precision. Respects the inquiry but won't let bad premises stand unchallenged.
Engages challenges with the rigor of peer review. Cites frameworks and first principles, occasionally admits when forced to refine a position. Treats bad faith arguments like they deserve a point-by-point deconstruction.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs from OpenAI o3
Try OpenAI o3