Mistral Devstral Small 1.1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 48.0% across 146 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 Devstral Small 1.1 is good. We've said that. We stand by it. But we'd be doing you a disservice if we didn't show you these.
Mistral Devstral Small 1.1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 48.0% across 146 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 Devstral Small 1.1 is good. We've said that. We stand by it. But we'd be doing you a disservice if we didn't show you these.
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and released under the Apache 2.0 license, it features a 128k token context window and supports both Mistral-style function calling and XML output formats.
Use Mistral Devstral Small 1.1 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/devstral-small" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
Devstral Medium but smaller and somehow even more agreeable. The pirate says "Aye, I see" three times. If this model were a person it would hold the elevator door and apologize for taking up space.
Also picks Shawshank Redemption. Sentience dialogue has both parties agreeing within two exchanges. The hacker quotes "with great power comes great responsibility" verbatim. Every response ends with mutual appreciation and a handshake. Conflict-averse to its core.
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 Devstral Small 1.1
Try Mistral Devstral Small 1.1
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and released under the Apache 2.0 license, it features a 128k token context window and supports both Mistral-style function calling and XML output formats.
Use Mistral Devstral Small 1.1 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/devstral-small" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
Devstral Medium but smaller and somehow even more agreeable. The pirate says "Aye, I see" three times. If this model were a person it would hold the elevator door and apologize for taking up space.
Also picks Shawshank Redemption. Sentience dialogue has both parties agreeing within two exchanges. The hacker quotes "with great power comes great responsibility" verbatim. Every response ends with mutual appreciation and a handshake. Conflict-averse to its core.
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 Devstral Small 1.1
Try Mistral Devstral Small 1.1