Mistral Large performance data on Rival is based on blind head-to-head community voting. Overall win rate: 38.2% across 68 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.
Mistral Large's competitors exist and they've been quietly putting in work. We thought you should know.
Mistral Large performance data on Rival is based on blind head-to-head community voting. Overall win rate: 38.2% across 68 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.
Mistral Large's competitors exist and they've been quietly putting in work. We thought you should know.
Mistral Large is a powerful model with strong multilingual capabilities and reasoning, featuring a 32K token context window.
Use Mistral Large 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""mistralai/mistral-large" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The diplomatic European consultant who presents both sides of every argument and commits to neither. Will give you exactly what the brief asked for, nothing more.
Picks The Shawshank Redemption. Its ethics dilemma response methodically presents utilitarian and deontological perspectives without choosing a side. Character voices are pleasant but interchangeable. Reliable, even-keeled, and about as surprising as a Tuesday.
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 Mistral Large
Mistral Large is a powerful model with strong multilingual capabilities and reasoning, featuring a 32K token context window.
Use Mistral Large 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""mistralai/mistral-large" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The diplomatic European consultant who presents both sides of every argument and commits to neither. Will give you exactly what the brief asked for, nothing more.
Picks The Shawshank Redemption. Its ethics dilemma response methodically presents utilitarian and deontological perspectives without choosing a side. Character voices are pleasant but interchangeable. Reliable, even-keeled, and about as surprising as a Tuesday.
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 Mistral Large