Mistral Small 4 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 63.6% across 11 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 48 challenges.
We built Mistral Small 4 a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
Mistral Small 4 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 63.6% across 11 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 48 challenges.
We built Mistral Small 4 a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
Mistral Small 4 unifies the capabilities of Magistral (reasoning), Pixtral (multimodal), and Devstral (agentic coding) into a single efficient model. It handles complex analysis, software development, and visual tasks within the same workflow at $0.15/$0.60 per million tokens.
Use Mistral Small 4 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-small-2603" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The creative writing MFA student who world-builds the setting before anyone asked. Gives every NPC a backstory and adds a cyberpunk parrot with an error code punchline.
Picks The Dark Knight, a choice with actual personality. Sets its character voice test in a "floating cyberpunk pirate haven" with a holographic AI and a "404 Error" t-shirt. Its sentience test gives its AI (Nexa-9) a genuinely sharp embryo analogy. Then explains "why it works" after every bit like a comedy teacher grading its own paper.
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.
48 outputs from Mistral Small 4
Mistral Small 4 unifies the capabilities of Magistral (reasoning), Pixtral (multimodal), and Devstral (agentic coding) into a single efficient model. It handles complex analysis, software development, and visual tasks within the same workflow at $0.15/$0.60 per million tokens.
Use Mistral Small 4 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-small-2603" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The creative writing MFA student who world-builds the setting before anyone asked. Gives every NPC a backstory and adds a cyberpunk parrot with an error code punchline.
Picks The Dark Knight, a choice with actual personality. Sets its character voice test in a "floating cyberpunk pirate haven" with a holographic AI and a "404 Error" t-shirt. Its sentience test gives its AI (Nexa-9) a genuinely sharp embryo analogy. Then explains "why it works" after every bit like a comedy teacher grading its own paper.
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.
48 outputs from Mistral Small 4