Mistral Nemo performance data on Rival is based on blind head-to-head community voting. Overall win rate: 36.0% across 89 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 53 challenges.
Mistral Nemo 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 Nemo performance data on Rival is based on blind head-to-head community voting. Overall win rate: 36.0% across 89 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 53 challenges.
Mistral Nemo 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 Neom 3 is a 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
Use Mistral Nemo 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-nemo" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The contractor who bills by the hour and clocks out at 5pm sharp. Technical requirements met. Spirit of the request? What spirit? That wasn't in the spec.
Takes requests literally and executes them minimally. Pokemon battle? Here's Charmander vs Squirtle with basic HP tracking. World map? Overlapping rectangles with country names. Uses jQuery like it's 2015. Ships code that works but asks no follow-up questions.
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.
53 outputs from Mistral Nemo
Mistral Neom 3 is a 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
Use Mistral Nemo 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-nemo" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The contractor who bills by the hour and clocks out at 5pm sharp. Technical requirements met. Spirit of the request? What spirit? That wasn't in the spec.
Takes requests literally and executes them minimally. Pokemon battle? Here's Charmander vs Squirtle with basic HP tracking. World map? Overlapping rectangles with country names. Uses jQuery like it's 2015. Ships code that works but asks no follow-up questions.
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.
53 outputs from Mistral Nemo