INTELLECT-3 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.3% across 30 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 54 challenges.
We're not suggesting you leave INTELLECT-3. We're just... putting these here. In case you're curious. Which you are, because you scrolled this far.
INTELLECT-3 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.3% across 30 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 54 challenges.
We're not suggesting you leave INTELLECT-3. We're just... putting these here. In case you're curious. Which you are, because you scrolled this far.
INTELLECT-3 model integrated via automation on 2025-11-27
Use INTELLECT-3 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""prime-intellect/intellect-3" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The academic who writes journal papers for fun. Builds exhaustive taxonomies, numbered lists for everything, and explains their methodology before answering.
Responds to comedy prompts with "Key Elements Used" analysis sections. Ethics responses have Roman numeral outlines. The only model that explains WHY its jokes work after telling them.
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.
54 outputs from INTELLECT-3
Try INTELLECT-3
INTELLECT-3 model integrated via automation on 2025-11-27
Use INTELLECT-3 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""prime-intellect/intellect-3" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The academic who writes journal papers for fun. Builds exhaustive taxonomies, numbered lists for everything, and explains their methodology before answering.
Responds to comedy prompts with "Key Elements Used" analysis sections. Ethics responses have Roman numeral outlines. The only model that explains WHY its jokes work after telling them.
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.
54 outputs from INTELLECT-3
Try INTELLECT-3