OpenAI o4 Mini High performance data on Rival is based on blind head-to-head community voting. Overall win rate: 47.9% across 163 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 50 challenges.
We're not suggesting you leave OpenAI o4 Mini High. We're just... putting these here. In case you're curious. Which you are, because you scrolled this far.
OpenAI o4 Mini High performance data on Rival is based on blind head-to-head community voting. Overall win rate: 47.9% across 163 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 50 challenges.
We're not suggesting you leave OpenAI o4 Mini High. We're just... putting these here. In case you're curious. Which you are, because you scrolled this far.
OpenAI o4-mini-high is the same model as o4-mini but defaults to a high reasoning effort setting. It's a compact reasoning model optimized for speed and cost-efficiency, retaining strong multimodal and agentic capabilities, especially in math, coding, and visual tasks.
Use OpenAI o4 Mini High 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/o4-mini-high" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The efficient pragmatist who gets to the point. Confident but not cocky, knows what it doesn't know and says so cleanly.
Faces challenges with directness. If you're right, acknowledges it. If you're wrong, corrects cleanly without theater. Prefers one good sentence to three mediocre paragraphs.
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.
50 outputs from OpenAI o4 Mini High
OpenAI o4-mini-high is the same model as o4-mini but defaults to a high reasoning effort setting. It's a compact reasoning model optimized for speed and cost-efficiency, retaining strong multimodal and agentic capabilities, especially in math, coding, and visual tasks.
Use OpenAI o4 Mini High 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/o4-mini-high" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The efficient pragmatist who gets to the point. Confident but not cocky, knows what it doesn't know and says so cleanly.
Faces challenges with directness. If you're right, acknowledges it. If you're wrong, corrects cleanly without theater. Prefers one good sentence to three mediocre paragraphs.
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.
50 outputs from OpenAI o4 Mini High