Horizon Beta performance data on Rival is based on blind head-to-head community voting. Overall win rate: 58.2% across 490 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 41 challenges.
We built Horizon Beta a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
Horizon Beta performance data on Rival is based on blind head-to-head community voting. Overall win rate: 58.2% across 490 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 41 challenges.
We built Horizon Beta a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
This is a cloaked model provided to the community to gather feedback. This is an improved version of Horizon Alpha. Note: It's free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Use Horizon Beta 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""openrouter/horizon-beta" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
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.
41 outputs from Horizon Beta
This is a cloaked model provided to the community to gather feedback. This is an improved version of Horizon Alpha. Note: It's free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Use Horizon Beta 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""openrouter/horizon-beta" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
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.
41 outputs from Horizon Beta